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JMIR Bioinformatics and Biotechnology
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data analytics, machine learning-based predictive models using genomic and imaging data, and information retrieval in biology and medicine.</span></p></h4> <p class="d-inline-block journal__info-p"><span> Editor-in-Chief: </span> <span><strong class="editor-in-chief"><p>Ece D. Uzun, MS, Ph.D., FAMIA, <span>Director of Clinical Bioinformatics, Lifespan Academic Medical Center; </span><span>Associate Director, Center for Clinical Cancer Informatics and Data Science (CCIDS); and </span><span>Associate Professor of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, USA</span></p></strong></span> <br> <!----> <span class="cite-score"><span>CiteScore </span> <span><strong>2.9</strong></span> <a aria-label="Link to announcement" href="https://www.jmir.org/announcements/471"><span aria-hidden="true" class="icon fas fa-info-circle" style="color: #247CB3;"></span></a></span></p> <div class="journal__info-decription hide-description"><span><p>JMIR Bioinformatics and Biotechnology, (JBB, ISSN 2563-3570) (Editor-in-chief: Ece Uzun, MS, PhD, FAMIA) is a premier, open-access journal indexed in <a href="../../announcements/444">PubMed Central and PubMed</a>, <a href="../../announcements/402">SCOPUS</a>, Sherpa/Romeo, DOAJ and EBSCO/EBSCO Essentials. It focuses on bioinformatics, genomic variation detection algorithms and tools, AI applications in genomics and pathology informatics, mathematical modeling in biological systems including drug delivery and discovery, genomic data visualization, network biology and cancer genomic data analysis (See <a href="../../about-journal/focus-and-scope">Focus and Scope</a>). </p></span></div> <button class="btn btn-medium btn-blue mt-3" style="margin-bottom: 30px;"><span>Read </span> <span>More</span></button></div></div></div></div> <!----> <!----> <!----></section> <main data-v-88946f80><div data-v-30c6e183 data-v-88946f80><section class="articles-wrapper" data-v-30c6e183><h2 id="recent-articles" tabindex="0" aria-label="Recent Articles" class="text-center" data-v-30c6e183> Recent Articles </h2> <div class="green-underline" data-v-30c6e183></div> <div data-test="recent-articles-container" class="container" data-v-30c6e183><div class="cards" data-v-30c6e183><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/52242797086a645e378ce47d104c61d1.png 480w,https://asset.jmir.pub/assets/52242797086a645e378ce47d104c61d1.png 960w,https://asset.jmir.pub/assets/52242797086a645e378ce47d104c61d1.png 1920w,https://asset.jmir.pub/assets/52242797086a645e378ce47d104c61d1.png 2500w" alt="Article Thumbnail" title="Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1358" aria-label="Open theme with Bioinformatics, genomics, tools and databases" class="link card-theme" data-v-30c6e183> Bioinformatics, genomics, tools and databases </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e65506" data-test="card-title" aria-label="Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial" title="Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial" class="h5" data-v-30c6e183> Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Health care students often experience high levels of stress, anxiety, and mental health issues, making it crucial to address these challenges. Variations in stress levels may be associated with changes in dehydroepiandrosterone sulfate (DHEA-S) and interleukin-6 (IL-6) levels and gene expression. Meditative practices have demonstrated effectiveness in reducing stress and improving mental well-being.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e65506" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-12-16" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-12-16 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe65506" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://twitter.com/intent/tweet?url=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe65506" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://www.facebook.com/sharer.php?s=100&u=https://bioinform.jmir.org/2024/1/e65506&quote=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/feed?shareActive=true&text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe65506" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/65506" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/4bfe5e706b36cf49e4963362fe700b54.png 480w,https://asset.jmir.pub/assets/4bfe5e706b36cf49e4963362fe700b54.png 960w,https://asset.jmir.pub/assets/4bfe5e706b36cf49e4963362fe700b54.png 1920w,https://asset.jmir.pub/assets/4bfe5e706b36cf49e4963362fe700b54.png 2500w" alt="Article Thumbnail" title="Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1551" aria-label="Open theme with Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data" class="link card-theme" data-v-30c6e183> Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e62747" data-test="card-title" aria-label="Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach" title="Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach" class="h5" data-v-30c6e183> Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Environmentally sensitive pathogens exhibit ecological and evolutionary responses to climate change that result in the emergence and global expansion of well-adapted variants. 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These advanced techniques offer promising potential for uncovering various facets of these disorders. A comprehensive review of the current applications of machine learning in conjunction with genomic data within this context can significantly enhance our understanding of the current state of research and its future directions.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e62752" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-11-15" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-11-15 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe62752" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://twitter.com/intent/tweet?url=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe62752" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://www.facebook.com/sharer.php?s=100&u=https://bioinform.jmir.org/2024/1/e62752&quote=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/feed?shareActive=true&text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe62752" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/62752" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/2d3fb0d9e0d20ba00e16e3c3ab35c462.png 480w,https://asset.jmir.pub/assets/2d3fb0d9e0d20ba00e16e3c3ab35c462.png 960w,https://asset.jmir.pub/assets/2d3fb0d9e0d20ba00e16e3c3ab35c462.png 1920w,https://asset.jmir.pub/assets/2d3fb0d9e0d20ba00e16e3c3ab35c462.png 2500w" alt="Article Thumbnail" title="Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots Through Large Language Models" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1622" aria-label="Open theme with Theme Issue 2024: Artificial Intelligence in Oncology" class="link card-theme" data-v-30c6e183> Theme Issue 2024: Artificial Intelligence in Oncology </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e64406" data-test="card-title" aria-label="Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots Through Large Language Models" title="Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots Through Large Language Models" class="h5" data-v-30c6e183> Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots Through Large Language Models </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>The integration of chatbots in oncology underscores the pressing need for human-centered artificial intelligence (AI) that addresses patient and family concerns with empathy and precision. Human-centered AI emphasizes ethical principles, empathy, and user-centric approaches, ensuring technology aligns with human values and needs. This review critically examines the ethical implications of using large language models (LLMs) like GPT-3 and GPT-4 (OpenAI) in oncology chatbots. It examines how these models replicate human-like language patterns, impacting the design of ethical AI systems. The paper identifies key strategies for ethically developing oncology chatbots, focusing on potential biases arising from extensive datasets and neural networks. Specific datasets, such as those sourced from predominantly Western medical literature and patient interactions, may introduce biases by overrepresenting certain demographic groups. Moreover, the training methodologies of LLMs, including fine-tuning processes, can exacerbate these biases, leading to outputs that may disproportionately favor affluent or Western populations while neglecting marginalized communities. By providing examples of biased outputs in oncology chatbots, the review highlights the ethical challenges LLMs present and the need for mitigation strategies. The study emphasizes integrating human-centric values into AI to mitigate these biases, ultimately advocating for the development of oncology chatbots that are aligned with ethical principles and capable of serving diverse patient populations equitably.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e64406" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-11-06" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-11-06 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe64406" 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960w,https://asset.jmir.pub/assets/5220221e6920b744be7c157fe2c0f9a2.png 1920w,https://asset.jmir.pub/assets/5220221e6920b744be7c157fe2c0f9a2.png 2500w" alt="Article Thumbnail" title="Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1551" aria-label="Open theme with Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data" class="link card-theme" data-v-30c6e183> Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e58357" data-test="card-title" aria-label="Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study" title="Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study" class="h5" data-v-30c6e183> Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Despite growing interest in the clinical translation of polygenic risk scores (PRSs), it remains uncertain to what extent genomic information can enhance the prediction of psychiatric outcomes beyond the data collected during clinical visits alone.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e58357" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas 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data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/513" aria-label="Open theme with Review" class="link card-theme" data-v-30c6e183> Review </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e58439" data-test="card-title" aria-label="Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review" title="Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review" class="h5" data-v-30c6e183> Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Chromosomal abnormalities are genetic disorders caused by chromosome errors, leading to developmental delays, birth defects, and miscarriages. Currently, invasive procedures such as amniocentesis or chorionic villus sampling are mostly used, which carry a risk of miscarriage. This has led to the need for a noninvasive and innovative approach to detect and prevent chromosomal abnormalities during pregnancy.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e58439" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-10-16" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-10-16 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe58439" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://twitter.com/intent/tweet?url=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe58439" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://www.facebook.com/sharer.php?s=100&u=https://bioinform.jmir.org/2024/1/e58439&quote=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/feed?shareActive=true&text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe58439" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/58439" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/73d45b31d0191e71cb45db344f46478b.png 480w,https://asset.jmir.pub/assets/73d45b31d0191e71cb45db344f46478b.png 960w,https://asset.jmir.pub/assets/73d45b31d0191e71cb45db344f46478b.png 1920w,https://asset.jmir.pub/assets/73d45b31d0191e71cb45db344f46478b.png 2500w" alt="Article Thumbnail" title="Comparison of the Neutralization Power of Sotrovimab Against SARS-CoV-2 Variants: Development of a Rapid Computational Method" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1363" aria-label="Open theme with Structural biology and molecular modeling" class="link card-theme" data-v-30c6e183> Structural biology and molecular modeling </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e58018" data-test="card-title" aria-label="Comparison of the Neutralization Power of Sotrovimab Against SARS-CoV-2 Variants: Development of a Rapid Computational Method" title="Comparison of the Neutralization Power of Sotrovimab Against SARS-CoV-2 Variants: Development of a Rapid Computational Method" class="h5" data-v-30c6e183> Comparison of the Neutralization Power of Sotrovimab Against SARS-CoV-2 Variants: Development of a Rapid Computational Method </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>The rapid evolution of SARS-CoV-2 imposed a huge challenge on disease control. Immune evasion caused by genetic variations of the SARS-CoV-2 spike protein’s immunogenic epitopes affects the efficiency of monoclonal antibody–based therapy of COVID-19. 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class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/58018" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/placeholder.svg 480w,https://asset.jmir.pub/placeholder.svg 960w,https://asset.jmir.pub/placeholder.svg 1920w,https://asset.jmir.pub/placeholder.svg 2500w" alt="Article Thumbnail" title="Correction: Mutations of SARS-CoV-2 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Bioinformatics Analysis" class="h5" data-v-30c6e183> Correction: Mutations of SARS-CoV-2 Structural Proteins in the Alpha, Beta, Gamma, and Delta Variants: Bioinformatics Analysis </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183> </span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e64915" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-08-05" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-08-05 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" 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class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/16a9819e7228ad30dcaa9a1f565de086.png 480w,https://asset.jmir.pub/assets/16a9819e7228ad30dcaa9a1f565de086.png 960w,https://asset.jmir.pub/assets/16a9819e7228ad30dcaa9a1f565de086.png 1920w,https://asset.jmir.pub/assets/16a9819e7228ad30dcaa9a1f565de086.png 2500w" alt="Article Thumbnail" title="Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1551" aria-label="Open theme with Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data" class="link card-theme" data-v-30c6e183> Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e56538" data-test="card-title" aria-label="Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation" title="Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation" class="h5" data-v-30c6e183> Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Carcinoma of unknown primary (CUP) is a subset of metastatic cancers in which the primary tissue source of the cancer cells remains unidentified. CUP is the eighth most common malignancy worldwide, accounting for up to 5% of all malignancies. Representing an exceptionally aggressive metastatic cancer, the median survival is approximately 3 to 6 months. The tissue in which cancer arises plays a key role in our understanding of sensitivities to various forms of cell death. Thus, the lack of knowledge on the tissue of origin (TOO) makes it difficult to devise tailored and effective treatments for patients with CUP. Developing quick and clinically implementable methods to identify the TOO of the primary site is crucial in treating patients with CUP. Noncoding RNAs may hold potential for origin identification and provide a robust route to clinical implementation due to their resistance against chemical degradation.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e56538" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-07-24" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-07-24 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe56538" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://twitter.com/intent/tweet?url=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe56538" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://www.facebook.com/sharer.php?s=100&u=https://bioinform.jmir.org/2024/1/e56538&quote=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/feed?shareActive=true&text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe56538" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/56538" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/9e8c136becc530a3eb425fa544b26bff.png 480w,https://asset.jmir.pub/assets/9e8c136becc530a3eb425fa544b26bff.png 960w,https://asset.jmir.pub/assets/9e8c136becc530a3eb425fa544b26bff.png 1920w,https://asset.jmir.pub/assets/9e8c136becc530a3eb425fa544b26bff.png 2500w" alt="Article Thumbnail" title="It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/515" aria-label="Open theme with Viewpoint" class="link card-theme" data-v-30c6e183> Viewpoint </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e55632" data-test="card-title" aria-label="It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine" title="It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine" class="h5" data-v-30c6e183> It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Health care is at a turning point. We are shifting from protocolized medicine to precision medicine, and digital health systems are facilitating this shift. By providing clinicians with detailed information for each patient and analytic support for decision-making at the point of care, digital health technologies are enabling a new era of precision medicine. Genomic data also provide clinicians with information that can improve the accuracy and timeliness of diagnosis, optimize prescribing, and target risk reduction strategies, all of which are key elements for precision medicine. However, genomic data are predominantly seen as diagnostic information and are not routinely integrated into the clinical workflows of electronic medical records. The use of genomic data holds significant potential for precision medicine; however, as genomic data are fundamentally different from the information collected during routine practice, special considerations are needed to use this information in a digital health setting. This paper outlines the potential of genomic data integration with electronic records, and how these data can enable precision medicine.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e55632" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-06-13" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-06-13 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe55632" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://twitter.com/intent/tweet?url=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe55632" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://www.facebook.com/sharer.php?s=100&u=https://bioinform.jmir.org/2024/1/e55632&quote=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/feed?shareActive=true&text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe55632" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/55632" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/7f9e5e318c12e1c7d2b7d76eb016a437.png 480w,https://asset.jmir.pub/assets/7f9e5e318c12e1c7d2b7d76eb016a437.png 960w,https://asset.jmir.pub/assets/7f9e5e318c12e1c7d2b7d76eb016a437.png 1920w,https://asset.jmir.pub/assets/7f9e5e318c12e1c7d2b7d76eb016a437.png 2500w" alt="Article Thumbnail" title="Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1358" aria-label="Open theme with Bioinformatics, genomics, tools and databases" class="link card-theme" data-v-30c6e183> Bioinformatics, genomics, tools and databases </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e54332" data-test="card-title" aria-label="Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review" title="Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review" class="h5" data-v-30c6e183> Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Genetic data are widely considered inherently identifiable. However, genetic data sets come in many shapes and sizes, and the feasibility of privacy attacks depends on their specific content. Assessing the reidentification risk of genetic data is complex, yet there is a lack of guidelines or recommendations that support data processors in performing such an evaluation.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e54332" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-05-27" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-05-27 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe54332" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://twitter.com/intent/tweet?url=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe54332" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://www.facebook.com/sharer.php?s=100&u=https://bioinform.jmir.org/2024/1/e54332&quote=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/feed?shareActive=true&text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe54332" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/54332" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/a8331ce74aefba8bab3a8810072a139e.png 480w,https://asset.jmir.pub/assets/a8331ce74aefba8bab3a8810072a139e.png 960w,https://asset.jmir.pub/assets/a8331ce74aefba8bab3a8810072a139e.png 1920w,https://asset.jmir.pub/assets/a8331ce74aefba8bab3a8810072a139e.png 2500w" alt="Article Thumbnail" title="ChatGPT and Medicine: Together We Embrace the AI Renaissance" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1289" aria-label="Open theme with Editorial" class="link card-theme" data-v-30c6e183> Editorial </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e52700" data-test="card-title" aria-label="ChatGPT and Medicine: Together We Embrace the AI Renaissance" title="ChatGPT and Medicine: Together We Embrace the AI Renaissance" class="h5" data-v-30c6e183> ChatGPT and Medicine: Together We Embrace the AI Renaissance </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>The generative artificial intelligence (AI) model ChatGPT holds transformative prospects in medicine. The development of such models has signaled the beginning of a new era where complex biological data can be made more accessible and interpretable. ChatGPT is a natural language processing tool that can process, interpret, and summarize vast data sets. It can serve as a digital assistant for physicians and researchers, aiding in integrating medical imaging data with other multiomics data and facilitating the understanding of complex biological systems. The physician’s and AI’s viewpoints emphasize the value of such AI models in medicine, providing tangible examples of how this could enhance patient care. The editorial also discusses the rise of generative AI, highlighting its substantial impact in democratizing AI applications for modern medicine. While AI may not supersede health care professionals, practitioners incorporating AI into their practices could potentially have a competitive edge.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e52700" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-05-07" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-05-07 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="https://bsky.app/intent/compose?text=Check%20out%20this%20fascinating%20article%20by%20%40jmirpub.bsky.social!%20https%3A%2F%2Fbioinform.jmir.org%2F2024%2F1%2Fe52700" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" 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class="scroll-to-very-top"><span aria-hidden="true" class="icon fas fa-chevron-up"></span></a></div> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></div></div></div><script>window.__NUXT__=(function(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,_,$,aa,ab,ac,ad,ae,af,ag,ah,ai,aj,ak,al,am,an,ao,ap,aq,ar,as,at,au,av,aw,ax,ay,az,aA,aB,aC,aD,aE,aF,aG,aH,aI,aJ,aK,aL,aM,aN,aO,aP,aQ,aR,aS,aT,aU,aV,aW,aX,aY,aZ,a_,a$,ba,bb,bc,bd,be,bf,bg,bh,bi,bj){return {layout:"front",data:[{carouselItems:[{tabTitle:"Testimonials",slideTitle:"\"JMIR is an outstanding journal in the field - a top journal in eHealth.\"",articleTitle:"Ben Gerber",description:"Associate Professor of Medicine, University of Illinois at Chicago",image:"\u002F_nuxt\u002Fimg\u002Fplaceholder-testimonial.8ffb428.jpg",backgroundColor:Y,buttons:[{url:{internal:w,link:"https:\u002F\u002Fdocs.google.com\u002Fforms\u002Fd\u002Fe\u002F1FAIpQLSeG5fmIO98nI54IeywAdGglYqLp67cQBmMwgqt3Qbz_BAp6zQ\u002Fviewform?formkey=dGR6eVMxTEdxblVycV8tMVRmdjRHS2c6MQ"},buttonText:a}]},{tabTitle:"Featured JMIR Sister Journal",slideTitle:Z,description:"\u003Cstrong\u003EBackground:\u003C\u002Fstrong\u003E As of 2022, patient adherence to postoperative guidelines can reduce the risk of complications by up to 52.4% following laparoscopic abdominal surgery. With the availability of various preoperative education interventions (POEIs), understanding which POEI results in improvement in patient outcomes across the procedures is imperative.\n\u003Cstrong\u003EObjective:\u003C\u002Fstrong\u003E This study aims to determine which POEI could be the most effective on patient outcomes by systematically reviewing all the POEIs reported in the literature.\n\u003Cstrong\u003EMethods:\u003C\u002Fstrong\u003E In total, 4753 articles investigating various POEIs (eg, videos, presentations, mobile apps, and one-on-one education or coaching) were collected from the PubMed, Embase, and Scopus databases. Inclusion criteria were adult patients undergoing abdominal laparoscopic surgery, randomized controlled trials, and studies that provided postoperative outcomes. Exclusion criteria included studies not published in English and with no outcomes reported. Title and abstract and full-text articles with POEI randomized controlled studies were screened based on the above criteria through a blinded, dual review using Covidence (Veritas Health Innovation). Study quality was assessed through the Cochrane Risk of Bias tool. The included articles were analyzed for educational content, intervention timing, intervention type, and postoperative outcomes appropriate for a particular surgery.\n\u003Cstrong\u003EResults:\u003C\u002Fstrong\u003E Only 17 studies matched our criteria, with 1831 patients undergoing laparoscopic cholecystectomy, bariatric surgery (gastric bypass and gastric sleeve), and colectomy. In total, 15 studies reported a statistically significant improvement in at least 1 patient postoperative outcome. None of these studies were found to have an overall high risk of bias according to Cochrane standards. In total, 41% (7\u002F17) of the included studies using direct individual education improved outcomes in almost all surgery types, while educational videos had the greatest statistically significant impact for anxiety, nausea, and pain postoperatively (\u003Ci\u003EP<\u003C\u002Fi\u003E.01). Direct group education demonstrated significant improvement in weight, BMI, exercise, and depressive symptoms in 33% (2\u002F6) of the laparoscopic gastric bypass studies.\n\u003Cstrong\u003EConclusions:\u003C\u002Fstrong\u003E Direct education (individual or group based) positively impacts postoperative laparoscopic surgery outcomes.\n\u003Cstrong\u003ETrial Registration:\u003C\u002Fstrong\u003E PROSPERO CRD42023438698; https:\u002F\u002Fwww.crd.york.ac.uk\u002Fprospero\u002Fdisplay_record.php?RecordID=438698\n",articleTitle:"The Effectiveness of Patient Education on Laparoscopic Surgery Postoperative Outcomes to Determine Whether Direct Coaching Is the Best Approach: Systematic Review of Randomized Controlled Trials",citation:"- Vol 7 Issue 1",image:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F1e5fb1d786b014e65e069f2da949f8da.png",backgroundColor:"#582365",buttons:[{url:{internal:w,link:_},buttonText:"Visit Journal"}]},{tabTitle:"Latest Submission Open for Open-Review",slideTitle:$,description:aa,image:"\u002F_nuxt\u002Fimg\u002Fplaceholder-research.52b85b8.jpg",backgroundColor:"#a7e394",buttons:[{url:{internal:w,link:"https:\u002F\u002Fpreprints.jmir.org\u002Fpreprint\u002F70553"},buttonText:"Read Preprint"}]},{tabTitle:"Latest Announcement",slideTitle:ab,description:e,image:"\u002F_nuxt\u002Fimg\u002Fplaceholder-announcements.41ae07b.jpg",backgroundColor:Y,buttons:[{url:{internal:h,link:"\u002Fannouncements\u002F495"},buttonText:"View Announcement"}]},{tabTitle:"Featured Theme",slideTitle:ac,articleTitle:ad,description:ae,image:af,backgroundColor:"#295620",buttons:[{url:{internal:h,link:ag},buttonText:"Read Article"},{url:{internal:h,link:"\u002Fthemes\u002F1622"},buttonText:"View Theme"},{url:{internal:h,link:"\u002Fthemes"},buttonText:"View All Themes"}]}]}],fetch:{},error:a,state:{host:a,environment:d,journalPath:i,keys:{},domains:{},screensize:"desktop",defaultCookieScriptId:"aa022ba6-b337-11ef-b288-3fb59f57942d",accessibility:{filter:"none","font-weight":"inherit","font-size":.625,"text-align":"initial"},announcements:{data:[{announcement_id:495,title:ab,description_short:"\u003Cp\u003E\u003Cem\u003EJMIR Bioinformatics and Biotechnology\u003C\u002Fem\u003E, a PubMed, SCOPUS-indexed, peer-reviewed journal, is inviting submissions for a new theme issue titled “\u003Cstrong\u003EArtificial Intelligence in Oncology\u003C\u002Fstrong\u003E.” \u003C\u002Fp\u003E\u003Cp\u003E\u003Cbr\u003E\u003C\u002Fp\u003E",date_posted:"2024-07-10T12:49:10.000Z",journal_id:g},{announcement_id:444,title:"JMIR Bioinformatics and Biotechnology is now indexed in PubMed Central (PMC) and PubMed",description_short:"\u003Cp\u003E\u003Cspan style=\"font-family: Roboto, sans-serif;\"\u003EJMIR Publications is pleased to announce that \u003C\u002Fspan\u003E\u003Cem style=\"color: rgb(26, 37, 76); font-family: Roboto, sans-serif;\"\u003E\u003Ca href=\"https:\u002F\u002Fbioinform.jmir.org\u002F\"\u003EJMIR Bioinformatics and Biotechnology\u003C\u002Fa\u003E\u003C\u002Fem\u003E\u003Cem style=\"font-family: Roboto, sans-serif;\"\u003E \u003C\u002Fem\u003E\u003Cspan style=\"font-family: Roboto, sans-serif;\"\u003Eis now indexed in PubMed Central (PMC) and PubMed.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E",date_posted:"2024-02-16T10:45:56.000Z",journal_id:g},{announcement_id:ah,title:"Call for Papers: Theme Issue: Machine Learning-Based Predictive Models Using Genomic Data",description_short:"\u003Cp\u003EJMIR Publications is pleased to announce a new theme issue titled “\u003Cstrong\u003EMachine Learning-Based Predictive Models Using Genomic Data\u003C\u002Fstrong\u003E” in \u003Cem\u003EJMIR Bioinformatics and Biotechnology\u003C\u002Fem\u003E—a SCOPUS-indexed, peer-reviewed journal focusing on bioinformatics, computational biology, and biotechnology.\u003C\u002Fp\u003E",date_posted:"2024-01-24T09:55:11.000Z",journal_id:g},{announcement_id:402,title:"JMIR Bioinformatics and Biotechnology Accepted for Inclusion in Scopus",description_short:"\u003Cp\u003E(Toronto, Aug 25, 2023) JMIR Publications is happy to announce that \u003Cem\u003EJMIR Bioinformatics and Biotechnology\u003C\u002Fem\u003E, which published its first article in 2020, has been accepted for inclusion in Elsevier’s Scopus.\u003C\u002Fp\u003E",date_posted:"2023-08-25T14:12:12.000Z",journal_id:g},{announcement_id:373,title:"Call for Papers: JMIR Bioinformatics and Biotechnology",description_short:"JMIR Bioinformatics and Biotechnology (JBB) is a leading, international, peer-reviewed journal that aims to publish high-quality original research articles, reviews, and perspectives on all aspects of bioinformatics, computational biology, and biotechnology.",date_posted:"2023-06-09T16:28:01.000Z",journal_id:g},{announcement_id:368,title:"Welcoming Dr Ece Uzun, MS, PhD as the Editor-in-Chief for JMIR Bioinformatics and Biotechnology",description_short:"\u003Cp\u003EJMIR Bioinformatics and Biotechnology and JMIR Publications are thrilled to announce and welcome Dr Ece Uzun as Editor-in-Chief for JMIR Bioinformatics and Biotechnology.\u003C\u002Fp\u003E",date_posted:"2023-05-05T15:19:57.000Z",journal_id:g},{announcement_id:111,title:"JMIR Bioinformatics and Biotechnology launches and is open for submissions",description_short:"\u003Cp\u003EJMIR Bioinformatics and Biotechnology (JBB) is a forthcoming journal from \u003Ca href=\"jmirpublications.com\"\u003EJMIR Publications\u003C\u002Fa\u003E, the leading publisher for technology in health and medicine. JBB is a new sister journal of \u003Ca href=\"http:\u002F\u002Fwww.jmir.org\" target=\"_blank\"\u003EJMIR\u003C\u002Fa\u003E, the leading journal in medicine, ehealth and health services research in the Internet age. \u003C\u002Fp\u003E\r\n\u003Cp\u003EThe Journal will launch in 2020 and is now open for submissions (no publication or submission fees for the inaugural issues).\u003C\u002Fp\u003E\r\n\u003Cp\u003EWe are currently seeking academic leaders in this field to apply as \u003Cstrong\u003Eacquisition editors\u003C\u002Fstrong\u003E (paid), or \u003Cstrong\u003Esection editors\u003C\u002Fstrong\u003E for Editorial Board positions. Among the EB, we will select an \u003Cstrong\u003Eeditor-in-chief\u003C\u002Fstrong\u003E. There will be remuneration in form of a credit system, rewarding actions such as taking on papers as submission editor.\u003C\u002Fp\u003E\r\n\u003Cp\u003E\u003Cstrong\u003EPrerequisites\u003C\u002Fstrong\u003E include a scholarly track-record, demonstrated by being a first author on peer-reviewed publications and having served as peer-reviewer (preferably this should include JMIR journals. Applicants can self-assign themselves to papers to be peer-reviewed at \u003Ca href=\"http:\u002F\u002Fpreprints.jmir.org\u002F\"\u003EJMIR Preprints\u003C\u002Fa\u003E). Please include a list of publications as well as journals you reviewed for.\u003C\u002Fp\u003E\r\n\u003Cp\u003ETo \u003Cstrong\u003Eapply\u003C\u002Fstrong\u003E, please review \u003Ca href=\"https:\u002F\u002Fsupport.jmir.org\u002Fhc\u002Fen-us\u002Farticles\u002F115001347207-How-can-I-become-an-editorial-board-member-\"\u003EHow to become and editorial board member\u003C\u002Fa\u003E, fill in the online form, and also contact ed-support@jmir.org (Subject: JBB Editorial Board Self-Nomination) and include a brief description of your expertise and interests. \u003C\u002Fp\u003E",date_posted:"2015-11-09T11:24:18.000Z",journal_id:g}],pagination:{from:c,to:l,total:m,perPage:l,firstPage:c,lastPage:c}},article:{data:{thumbnail:ai,title:e,abstract:{Background:e,Objective:e,Methods:e,Result:e,Conculsion:e},primaryAuthor:a}},articles:{recent:[{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F52242797086a645e378ce47d104c61d1.png",title:"Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial",article_id:65506,url:"\u002F2024\u002F1\u002Fe65506",published_at:"2024-12-16T10:45:42.000Z",doi:"10.2196\u002F65506",preview:"Health care students often experience high levels of stress, anxiety, and mental health issues, making it crucial to address these challenges. Variations in stress levels may be associated with changes in dehydroepiandrosterone sulfate (DHEA-S) and interleukin-6 (IL-6) levels and gene expression. Meditative practices have demonstrated effectiveness in reducing stress and improving mental well-being.",section:{title:aj,section_id:ak}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F4bfe5e706b36cf49e4963362fe700b54.png",title:"Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach",article_id:62747,url:"\u002F2024\u002F1\u002Fe62747",published_at:"2024-11-28T13:45:04.000Z",doi:"10.2196\u002F62747",preview:"Environmentally sensitive pathogens exhibit ecological and evolutionary responses to climate change that result in the emergence and global expansion of well-adapted variants. It is imperative to understand the mechanisms that facilitate pathogen emergence and expansion, as well as the drivers behind the mechanisms, to understand and prepare for future pandemic expansions.",section:{title:n,section_id:o}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Ff7dc228eba0d373ee7a492582496a547.png",title:"Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review",article_id:62752,url:"\u002F2024\u002F1\u002Fe62752",published_at:"2024-11-15T14:30:24.000Z",doi:"10.2196\u002F62752",preview:"An increasing body of literature highlights the integration of machine learning with genomic data in psychiatry, particularly for complex mental health disorders such as schizophrenia. These advanced techniques offer promising potential for uncovering various facets of these disorders. A comprehensive review of the current applications of machine learning in conjunction with genomic data within this context can significantly enhance our understanding of the current state of research and its future directions.",section:{title:n,section_id:o}},{thumbnail:af,title:ad,article_id:64406,url:ag,published_at:"2024-11-06T16:00:06.000Z",doi:"10.2196\u002F64406",preview:ae,section:{title:ac,section_id:1622}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F5220221e6920b744be7c157fe2c0f9a2.png",title:"Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study",article_id:58357,url:"\u002F2024\u002F1\u002Fe58357",published_at:"2024-10-23T15:00:30.000Z",doi:"10.2196\u002F58357",preview:"Despite growing interest in the clinical translation of polygenic risk scores (PRSs), it remains uncertain to what extent genomic information can enhance the prediction of psychiatric outcomes beyond the data collected during clinical visits alone.",section:{title:n,section_id:o}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fa72dde4a4cea65cc2469d356cba654bc.png",title:"Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review",article_id:58439,url:"\u002F2024\u002F1\u002Fe58439",published_at:"2024-10-16T09:15:05.000Z",doi:"10.2196\u002F58439",preview:"Chromosomal abnormalities are genetic disorders caused by chromosome errors, leading to developmental delays, birth defects, and miscarriages. Currently, invasive procedures such as amniocentesis or chorionic villus sampling are mostly used, which carry a risk of miscarriage. This has led to the need for a noninvasive and innovative approach to detect and prevent chromosomal abnormalities during pregnancy.",section:{title:"Review",section_id:513}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F73d45b31d0191e71cb45db344f46478b.png",title:"Comparison of the Neutralization Power of Sotrovimab Against SARS-CoV-2 Variants: Development of a Rapid Computational Method",article_id:58018,url:"\u002F2024\u002F1\u002Fe58018",published_at:"2024-10-10T10:00:05.000Z",doi:"10.2196\u002F58018",preview:"The rapid evolution of SARS-CoV-2 imposed a huge challenge on disease control. Immune evasion caused by genetic variations of the SARS-CoV-2 spike protein’s immunogenic epitopes affects the efficiency of monoclonal antibody–based therapy of COVID-19. Therefore, a rapid method is needed to evaluate the efficacy of the available monoclonal antibodies against the new emerging variants or potential novel variants.",section:{title:"Structural biology and molecular modeling",section_id:1363}},{thumbnail:ai,title:"Correction: Mutations of SARS-CoV-2 Structural Proteins in the Alpha, Beta, Gamma, and Delta Variants: Bioinformatics Analysis",article_id:64915,url:"\u002F2024\u002F1\u002Fe64915",published_at:"2024-08-05T13:15:22.000Z",doi:"10.2196\u002F64915",preview:" ",section:{title:"Discretionary Corrigenda",section_id:1628}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F16a9819e7228ad30dcaa9a1f565de086.png",title:"Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation",article_id:56538,url:"\u002F2024\u002F1\u002Fe56538",published_at:"2024-07-24T09:30:03.000Z",doi:"10.2196\u002F56538",preview:"Carcinoma of unknown primary (CUP) is a subset of metastatic cancers in which the primary tissue source of the cancer cells remains unidentified. CUP is the eighth most common malignancy worldwide, accounting for up to 5% of all malignancies. Representing an exceptionally aggressive metastatic cancer, the median survival is approximately 3 to 6 months. The tissue in which cancer arises plays a key role in our understanding of sensitivities to various forms of cell death. Thus, the lack of knowledge on the tissue of origin (TOO) makes it difficult to devise tailored and effective treatments for patients with CUP. Developing quick and clinically implementable methods to identify the TOO of the primary site is crucial in treating patients with CUP. Noncoding RNAs may hold potential for origin identification and provide a robust route to clinical implementation due to their resistance against chemical degradation.",section:{title:n,section_id:o}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F9e8c136becc530a3eb425fa544b26bff.png",title:"It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine",article_id:55632,url:"\u002F2024\u002F1\u002Fe55632",published_at:"2024-06-13T13:45:04.000Z",doi:"10.2196\u002F55632",preview:"Health care is at a turning point. We are shifting from protocolized medicine to precision medicine, and digital health systems are facilitating this shift. By providing clinicians with detailed information for each patient and analytic support for decision-making at the point of care, digital health technologies are enabling a new era of precision medicine. Genomic data also provide clinicians with information that can improve the accuracy and timeliness of diagnosis, optimize prescribing, and target risk reduction strategies, all of which are key elements for precision medicine. However, genomic data are predominantly seen as diagnostic information and are not routinely integrated into the clinical workflows of electronic medical records. The use of genomic data holds significant potential for precision medicine; however, as genomic data are fundamentally different from the information collected during routine practice, special considerations are needed to use this information in a digital health setting. This paper outlines the potential of genomic data integration with electronic records, and how these data can enable precision medicine.",section:{title:"Viewpoint",section_id:515}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F7f9e5e318c12e1c7d2b7d76eb016a437.png",title:"Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review",article_id:54332,url:"\u002F2024\u002F1\u002Fe54332",published_at:"2024-05-27T10:45:05.000Z",doi:"10.2196\u002F54332",preview:"Genetic data are widely considered inherently identifiable. However, genetic data sets come in many shapes and sizes, and the feasibility of privacy attacks depends on their specific content. Assessing the reidentification risk of genetic data is complex, yet there is a lack of guidelines or recommendations that support data processors in performing such an evaluation.",section:{title:aj,section_id:ak}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fa8331ce74aefba8bab3a8810072a139e.png",title:"ChatGPT and Medicine: Together We Embrace the AI Renaissance",article_id:52700,url:"\u002F2024\u002F1\u002Fe52700",published_at:"2024-05-07T13:45:03.000Z",doi:"10.2196\u002F52700",preview:"The generative artificial intelligence (AI) model ChatGPT holds transformative prospects in medicine. The development of such models has signaled the beginning of a new era where complex biological data can be made more accessible and interpretable. ChatGPT is a natural language processing tool that can process, interpret, and summarize vast data sets. It can serve as a digital assistant for physicians and researchers, aiding in integrating medical imaging data with other multiomics data and facilitating the understanding of complex biological systems. The physician’s and AI’s viewpoints emphasize the value of such AI models in medicine, providing tangible examples of how this could enhance patient care. The editorial also discusses the rise of generative AI, highlighting its substantial impact in democratizing AI applications for modern medicine. While AI may not supersede health care professionals, practitioners incorporating AI into their practices could potentially have a competitive edge.",section:{title:"Editorial",section_id:1289}}],openReview:[{article_id:b,url:"\u002Fpreprints\u002F70553",date_submitted:"2024-12-24T10:46:41.000Z",title:$,abstract:aa,start_date:"2025-01-09T09:39:23.000Z",end_date:"2025-03-06T09:39:23.000Z",reviewers:[{article_id:b,review_id:2826293,reviewer_id:116957},{article_id:b,review_id:2826295,reviewer_id:89905},{article_id:b,review_id:2826296,reviewer_id:438968},{article_id:b,review_id:2826300,reviewer_id:466123},{article_id:b,review_id:2826303,reviewer_id:98668},{article_id:b,review_id:2826306,reviewer_id:98666},{article_id:b,review_id:2826312,reviewer_id:381052},{article_id:b,review_id:2826314,reviewer_id:396346},{article_id:b,review_id:2826322,reviewer_id:389773},{article_id:b,review_id:2826323,reviewer_id:363516},{article_id:b,review_id:2828190,reviewer_id:510722},{article_id:b,review_id:2834099,reviewer_id:552464},{article_id:b,review_id:2834100,reviewer_id:552465},{article_id:b,review_id:2834101,reviewer_id:552466},{article_id:b,review_id:2834102,reviewer_id:552467},{article_id:b,review_id:2834103,reviewer_id:552468},{article_id:b,review_id:2834104,reviewer_id:552469},{article_id:b,review_id:2848795,reviewer_id:555754},{article_id:b,review_id:2848796,reviewer_id:555755},{article_id:b,review_id:2848797,reviewer_id:555756},{article_id:b,review_id:2848798,reviewer_id:555757},{article_id:b,review_id:2848799,reviewer_id:555758},{article_id:b,review_id:2848800,reviewer_id:555759},{article_id:b,review_id:2851904,reviewer_id:556459},{article_id:b,review_id:2851905,reviewer_id:232347},{article_id:b,review_id:2851912,reviewer_id:487651},{article_id:b,review_id:2851913,reviewer_id:458641},{article_id:b,review_id:2851914,reviewer_id:390420},{article_id:b,review_id:2851915,reviewer_id:441304},{article_id:b,review_id:2861129,reviewer_id:558334},{article_id:b,review_id:2861130,reviewer_id:558335},{article_id:b,review_id:2861131,reviewer_id:558336},{article_id:b,review_id:2861132,reviewer_id:558337},{article_id:b,review_id:2861133,reviewer_id:558338},{article_id:b,review_id:2861134,reviewer_id:558339},{article_id:b,review_id:2871912,reviewer_id:560479},{article_id:b,review_id:2871913,reviewer_id:560480},{article_id:b,review_id:2871914,reviewer_id:560481},{article_id:b,review_id:2871915,reviewer_id:560482},{article_id:b,review_id:2871916,reviewer_id:560483},{article_id:b,review_id:2871917,reviewer_id:560484},{article_id:b,review_id:2880347,reviewer_id:562853},{article_id:b,review_id:2880348,reviewer_id:562854},{article_id:b,review_id:2880349,reviewer_id:562855},{article_id:b,review_id:2880350,reviewer_id:562856},{article_id:b,review_id:2880351,reviewer_id:562857},{article_id:b,review_id:2880352,reviewer_id:562858},{article_id:b,review_id:2883358,reviewer_id:105350},{article_id:b,review_id:2883359,reviewer_id:499767},{article_id:b,review_id:2883360,reviewer_id:425847},{article_id:b,review_id:2883361,reviewer_id:479821},{article_id:b,review_id:2883362,reviewer_id:491105},{article_id:b,review_id:2883364,reviewer_id:510857},{article_id:b,review_id:2883366,reviewer_id:357606},{article_id:b,review_id:2883369,reviewer_id:482963},{article_id:b,review_id:2883370,reviewer_id:90758},{article_id:b,review_id:2883371,reviewer_id:531273},{article_id:b,review_id:2885078,reviewer_id:324506},{article_id:b,review_id:2896455,reviewer_id:566935},{article_id:b,review_id:2896456,reviewer_id:566936},{article_id:b,review_id:2896457,reviewer_id:566937},{article_id:b,review_id:2896458,reviewer_id:566938},{article_id:b,review_id:2896459,reviewer_id:566939},{article_id:b,review_id:2896460,reviewer_id:566940},{article_id:b,review_id:2906853,reviewer_id:569531},{article_id:b,review_id:2906854,reviewer_id:569532},{article_id:b,review_id:2906855,reviewer_id:569533},{article_id:b,review_id:2906856,reviewer_id:569534},{article_id:b,review_id:2906857,reviewer_id:569535},{article_id:b,review_id:2906858,reviewer_id:569536},{article_id:b,review_id:2913083,reviewer_id:399603},{article_id:b,review_id:2913084,reviewer_id:514298},{article_id:b,review_id:2913086,reviewer_id:487653},{article_id:b,review_id:2913088,reviewer_id:520344},{article_id:b,review_id:2913089,reviewer_id:402644},{article_id:b,review_id:2913090,reviewer_id:441445},{article_id:b,review_id:2913091,reviewer_id:487641},{article_id:b,review_id:2913092,reviewer_id:555838},{article_id:b,review_id:2913093,reviewer_id:536924},{article_id:b,review_id:2914652,reviewer_id:571402},{article_id:b,review_id:2923812,reviewer_id:573238},{article_id:b,review_id:2923813,reviewer_id:573239},{article_id:b,review_id:2923814,reviewer_id:573240},{article_id:b,review_id:2923815,reviewer_id:573241},{article_id:b,review_id:2923816,reviewer_id:573242},{article_id:b,review_id:2923817,reviewer_id:573243}]}]},articleTypes:{},authentication:{data:a,jwt:a},countries:{data:[]},departments:{data:[]},help:{data:{}},journal:{data:{journal_id:g,title:al,tag:am,description:e,path:i,slug:i,seq:p,enabled:c,environment:d,url:an,batch:f,year:q,colour:x,impact:a,order:y,published:ao,tra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Bioinformatics and Biotechnology, (JBB, ISSN 2563-3570) (Editor-in-chief: Ece Uzun, MS, PhD, FAMIA) is a premier, open-access journal indexed in \u003Ca href=\"..\u002F..\u002Fannouncements\u002F444\"\u003EPubMed Central and PubMed\u003C\u002Fa\u003E, \u003Ca href=\"..\u002F..\u002Fannouncements\u002F402\"\u003ESCOPUS\u003C\u002Fa\u003E, Sherpa\u002FRomeo, DOAJ and EBSCO\u002FEBSCO Essentials. It focuses on bioinformatics, genomic variation detection algorithms and tools, AI applications in genomics and pathology informatics, mathematical modeling in biological systems including drug delivery and discovery, genomic data visualization, network biology and cancer genomic data analysis (See \u003Ca href=\"..\u002F..\u002Fabout-journal\u002Ffocus-and-scope\"\u003EFocus and Scope\u003C\u002Fa\u003E). \u003C\u002Fp\u003E",announcementLink:e,copyrightNotice:"Unless stated otherwise, all articles are open-access distributed under the terms of the Creative Commons Attribution License (http:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby\u002F2.0\u002F), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work (\"first published in the Journal of Medical Internet Research...\") is properly cited with original URL and bibliographic citation information. The complete bibliographic information, a link to the original publication on http:\u002F\u002Fwww.jmir.org\u002F, as well as this copyright and license information must be included.",focusScopeDesc:"\u003Cp\u003E\u003Cspan\u003EJMIR Bioinformatics and Biotechnology, (JBB, ISSN 2563-3570) (Editor-in-chief: Ece Uzun, MS, PhD, FAMIA) is a premier, open-access journal indexed in \u003Ca href=\"..\u002F..\u002Fannouncements\u002F444\"\u003EPubMed Central and PubMed\u003C\u002Fa\u003E, \u003Ca href=\"..\u002F..\u002Fannouncements\u002F402\"\u003ESCOPUS\u003C\u002Fa\u003E, Sherpa\u002FRomeo, DOAJ and EBSCO\u002FEBSCO Essentials. The scope of the journal includes, but is not limited to, bioinformatics, genomic variation detection algorithms and tools, AI applications in genomics and pathology informatics, mathematical modeling in biological systems including drug delivery and discovery, genomic data visualization, network biology and c\u003Cspan style=\"font-weight: 400;\"\u003Eancer genomic data analysis. To learn more about the Editor-in-Chief's vision for the journal, please refer to this editorial \u003Ca href=\"..\u002F..\u002F2023\u002F1\u002Fe48631\"\u003Ehere\u003C\u002Fa\u003E. \u003C\u002Fspan\u003E\u003C\u002Fspan\u003E\u003C\u002Fp\u003E",googleAnalyticsId:"UA-186918-22",impactFactor:e,journalDescription:"\u003Cp\u003E\u003Cspan\u003EMethods, web-based platforms, open data and open software tools for big data analytics, machine learning-based predictive models using genomic and imaging data, and information retrieval in biology and medicine.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E",journalInitials:"JBB",footer:"\u003Cdiv\u003E\r\n\u003Cul style=\"display: flex; flex-wrap: wrap; list-style: none; justify-content: center;\"\u003E\r\n\u003Cli style=\"margin: 10px;\"\u003E\u003Ca href=\"http:\u002F\u002Fsearch.crossref.org\u002F?q=2292-9495\" target=\"_blank\" rel=\"noopener\"\u003E\u003Cimg src=\"https:\u002F\u002Fasset.jmir.pub\u002Fresources\u002Fimages\u002Fpartners\u002Fcrossref.jpg\" alt=\"Crossref Member\" \u002F\u003E\u003C\u002Fa\u003E\u003C\u002Fli\u003E\r\n\u003Cli style=\"margin: 10px;\"\u003E\u003Cimg src=\"https:\u002F\u002Fasset.jmir.pub\u002Fresources\u002Fimages\u002Fpartners\u002Fopen-access.jpg\" alt=\"Open Access\" \u002F\u003E\u003C\u002Fli\u003E\r\n\u003Cli style=\"margin: 10px;\"\u003E\u003Ca href=\"https:\u002F\u002Foaspa.org\u002Fmember-record-jmir-publications-inc\" target=\"_blank\" rel=\"noopener\"\u003E\u003Cimg src=\"https:\u002F\u002Fasset.jmir.pub\u002Fresources\u002Fimages\u002Fpartners\u002Foaspa.jpg\" alt=\"Open Access Scholarly Publishers Association\" \u002F\u003E\u003C\u002Fa\u003E\u003C\u002Fli\u003E\r\n\u003Cli style=\"margin: 10px;\"\u003E\u003Ca href=\"https:\u002F\u002Fwww.trendmd.com\" target=\"_blank\" rel=\"noopener\"\u003E\u003Cimg src=\"https:\u002F\u002Fasset.jmir.pub\u002Fresources\u002Fimages\u002Fpartners\u002Ftrend-MD.jpg\" alt=\"TrendMD Member\" \u002F\u003E\u003C\u002Fa\u003E\u003C\u002Fli\u003E\r\n\u003Cli style=\"margin: 10px;\"\u003E\u003Ca href=\"https:\u002F\u002Forcid.org\" target=\"_blank\" rel=\"noopener\"\u003E\u003Cimg src=\"https:\u002F\u002Fasset.jmir.pub\u002Fresources\u002Fimages\u002Fpartners\u002FORCID.jpg\" alt=\"ORCID Member\" \u002F\u003E\u003C\u002Fa\u003E\u003C\u002Fli\u003E\r\n\u003Cli style=\"margin: 10px;\"\u003E\u003Ca href=\"https:\u002F\u002Fdoaj.org\u002Ftoc\u002F2292-9495\" target=\"_blank\" rel=\"noopener\"\u003E\u003Cimg src=\"https:\u002F\u002Fasset.jmir.pub\u002Fresources\u002Fimages\u002Fpartners\u002FDOAJ.jpg\" alt=\"Directory of Open Access Journals\" \u002F\u003E\u003C\u002Fa\u003E\u003C\u002Fli\u003E\r\n\u003Cli style=\"margin: 10px;\"\u003E\u003Ca href=\"https:\u002F\u002Fdoaj.org\u002Ftoc\u002F2292-9495\" target=\"_blank\" rel=\"noopener\"\u003E\u003Cimg src=\"https:\u002F\u002Fasset.jmir.pub\u002Fresources\u002Fimages\u002Fpartners\u002Fdoaj_seal_logo_medium.png\" alt=\"DOAJ Seal\" \u002F\u003E\u003C\u002Fa\u003E\u003C\u002Fli\u003E\r\n\u003C\u002Ful\u003E\r\n\u003C\u002Fdiv\u003E",onlineIssn:"2563-3570",searchDescription:"Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet",searchKeywords:"Bioinformatics, Biotechnology, Medical, Medicine, Internet, Research, Journal, ehealth, JMIR,open access publishing, medical research",articlesWidget:{enabled:h,count:r,label:"Recent Articles"},openReviewWidget:{enabled:h,count:r,label:"\u003Ca href=\"https:\u002F\u002Fpreprints.jmir.org\"\u003EPreprints\u003C\u002Fa\u003E Open for Peer-Review"},searchWidget:{enabled:h},partnershipsWidget:{enabled:h},submitButton:{enabled:h,label:"Submit Article"},editorInChief:"\u003Cp\u003EEce D. Uzun, MS, Ph.D., FAMIA, \u003Cspan\u003EDirector of Clinical Bioinformatics, Lifespan Academic Medical Center; \u003C\u002Fspan\u003E\u003Cspan\u003EAssociate Director, Center for Clinical Cancer Informatics and Data Science (CCIDS); and \u003C\u002Fspan\u003E\u003Cspan\u003EAssociate Professor of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, USA\u003C\u002Fspan\u003E\u003C\u002Fp\u003E"}}},journals:{data:[{journal_id:c,title:"Journal of Medical Internet Research",tag:"The leading peer-reviewed journal for digital medicine and health and health care in the internet age. June 2024 - Journal Impact Factor: 5.8. 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Publish your work in this journal to let others know what you are working on, to facilitate collaboration and\u002For recruitment, to avoid duplication of efforts, to create a citable record of a research design idea, and to aid systematic reviewers in compiling evidence. Research protocols or grant proposals that are funded and have undergone peer-review will receive an expedited review if you upload peer-review reports as supplementary files.",path:"resprot",slug:"researchprotocols",seq:f,enabled:c,environment:d,url:"https:\u002F\u002Fwww.researchprotocols.org",batch:c,year:z,colour:"#837a7a",impact:"1.4",order:A,published:4476,transfers:a,cite_score:"2.4"},{journal_id:B,title:"JMIR Formative Research",tag:"Process evaluations, early results and feasibility\u002Fpilot studies of digital and non-digital interventions. June 2024 - Journal Impact Factor: 2.0 (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:e,path:ar,slug:ar,seq:t,enabled:c,environment:d,url:"https:\u002F\u002Fformative.jmir.org",batch:f,year:C,colour:"#605959",impact:"2.0",order:D,published:3301,transfers:a,cite_score:"2.7"},{journal_id:D,title:"JMIR mHealth and uHealth",tag:"Focused on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. June 2024 - Journal Impact Factor: 5.4. Q1 journal in \"Health Care Sciences & Services\" and \"Medical Informatics\" categories. (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:"JMIR mhealth and uhealth is a new journal focussing on mobile and ubiquitous health technologies, including smartphones, augmented reality (Google Glasses), intelligent domestic devices, implantable devices, and other technologies designed to maintain health and improve life.",path:as,slug:as,seq:E,enabled:c,environment:d,url:"https:\u002F\u002Fmhealth.jmir.org",batch:f,year:F,colour:at,impact:"5.4",order:f,published:2761,transfers:a,cite_score:"12.6"},{journal_id:45,title:"Online Journal of Public Health Informatics",tag:"A leading peer-reviewed, open access journal dedicated to the dissemination of high-quality research and innovation in the field of public health informatics.",description:a,path:au,slug:au,seq:G,enabled:c,environment:d,url:"https:\u002F\u002Fojphi.jmir.org",batch:a,year:av,colour:"#3399FF",impact:e,order:G,published:1723,transfers:a,cite_score:a},{journal_id:H,title:"JMIR Public Health and Surveillance",tag:"A multidisciplinary journal that focuses on the intersection of public health and technology, public health informatics, mass media campaigns, surveillance, participatory epidemiology, and innovation in public health practice and research. June 2024 - Journal Impact Factor: 3.5. Q1 journal in \"Public, Environmental & Occupational Health\" category (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:"Innovations in Public Health practice and research",path:aw,slug:aw,seq:I,enabled:c,environment:d,url:"https:\u002F\u002Fpublichealth.jmir.org",batch:c,year:j,colour:"#01538A",impact:J,order:I,published:1708,transfers:a,cite_score:"13.7"},{journal_id:m,title:"JMIR Medical Informatics",tag:"Clinical informatics, decision support for health professionals, electronic health records, and eHealth infrastructures. June 2024 - Journal Impact Factor: 3.1 (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:"Clinical informatics",path:ax,slug:ax,seq:s,enabled:c,environment:d,url:"https:\u002F\u002Fmedinform.jmir.org",batch:f,year:F,colour:"#82ABB9",impact:"3.1",order:l,published:1460,transfers:a,cite_score:"7.9"},{journal_id:K,title:"JMIR Mental Health",tag:"A journal focused on Internet interventions, technologies, and digital innovations for mental health and behavior change. Official journal of the Society for Digital Psychiatry. June 2024 - Journal Impact Factor: 4.8. Q1 journal in \"Psychiatry\" category. (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:e,path:ay,slug:ay,seq:m,enabled:c,environment:d,url:"https:\u002F\u002Fmental.jmir.org",batch:c,year:L,colour:"#45936C",impact:az,order:M,published:1116,transfers:a,cite_score:"10.8"},{journal_id:I,title:"JMIR Human Factors",tag:"Making health care interventions and technologies usable, safe, and effective. June 2024 - Journal Impact Factor: 2.6 (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:"Usability Studies and Ergonomics",path:aA,slug:aA,seq:aB,enabled:c,environment:d,url:"https:\u002F\u002Fhumanfactors.jmir.org",batch:f,year:L,colour:"#008C9E",impact:"2.6",order:aC,published:867,transfers:a,cite_score:"3.4"},{journal_id:A,title:"JMIR Serious Games",tag:"A multidisciplinary journal on gaming and gamification including simulation and immersive virtual reality for health education\u002Fpromotion, teaching, medicine, rehabilitation, and social change. June 2024 - Journal Impact Factor: 3.8. 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(Source: Journal Citation Reports™ 2024 from Clarivate™)",description:e,path:aE,slug:aE,seq:aC,enabled:c,environment:d,url:"https:\u002F\u002Fmededu.jmir.org",batch:f,year:j,colour:"#6678A6",impact:aF,order:H,published:590,transfers:a,cite_score:"6.9"},{journal_id:M,title:"Iproceedings",tag:"Electronic Proceedings, Presentations and Posters of Leading Conferences",description:e,path:aG,slug:aG,seq:D,enabled:c,environment:d,url:"https:\u002F\u002Fwww.iproc.org",batch:f,year:j,colour:"#6F7D80",impact:a,order:O,published:510,transfers:a,cite_score:a},{journal_id:u,title:"JMIR Aging",tag:"Digital health technologies, apps, and informatics for patient education, medicine and nursing, preventative interventions, and clinical care \u002F home care for elderly populations. June 2024 - Journal Impact Factor: 5.0. Q1 journal in \"Geriatrics & Gerontology\", \"Gerontology\" and \"Medical Informatics\" categories. (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:e,path:aH,slug:aH,seq:O,enabled:c,environment:d,url:"https:\u002F\u002Faging.jmir.org",batch:f,year:k,colour:"#979bc4",impact:"5.0",order:E,published:473,transfers:a,cite_score:"6.5"},{journal_id:E,title:"Interactive Journal of Medical Research",tag:"A new general medical journal for the 21st centrury, focusing on innovation in health and medical research. 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June 2024 - Journal Impact Factor: 3.5. Q1 journal in \"Health Care Sciences & Services\" and \"Public, Environmental, and Occupational Health\" categories. (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:"Focusing on determinants and distribution of health information and misinformation on the internet, and its effect on public and individual health.",path:aS,slug:aS,seq:37,enabled:c,environment:d,url:"https:\u002F\u002Finfodemiology.jmir.org",batch:f,year:2021,colour:"#32A852",impact:J,order:m,published:165,transfers:a,cite_score:az},{journal_id:aT,title:"JMIR AI",tag:"The leading peer-reviewed journal for digital medicine, and health & health care in the internet age",description:"JMIR AI is a new journal that focuses on the applications of AI in health settings. This includes contemporary developments as well as historical examples, with an emphasis on sound methodological evaluations of AI techniques and authoritative analyses. It is intended to be the main source of reliable information for health informatics professionals to learn about how AI techniques can be applied and evaluated.",path:aU,slug:aU,seq:G,enabled:c,environment:d,url:"https:\u002F\u002Fai.jmir.org",batch:f,year:aV,colour:V,impact:e,order:p,published:129,transfers:a,cite_score:a},{journal_id:W,title:Z,tag:"Technologies for pre- and post-operative education, preventative interventions and clinical care for surgery and anaesthesiology patients, as well as informatics applications in anesthesia, surgery, critical care and pain medicine",description:e,path:aW,slug:aW,seq:u,enabled:c,environment:d,url:_,batch:f,year:k,colour:"#187662",impact:a,order:aX,published:124,transfers:a,cite_score:"0.5"},{journal_id:P,title:"JMIR Nursing",tag:"Modern nursing in the age of information technology, patient empowerment and preventative, predictive, personal medicine",description:a,path:aY,slug:aY,seq:W,enabled:c,environment:d,url:"https:\u002F\u002Fnursing.jmir.org",batch:f,year:k,colour:"#429a99",impact:a,order:B,published:120,transfers:a,cite_score:"5.2"},{journal_id:y,title:"Journal of Participatory Medicine",tag:"The Journal of Participatory Medicine is a peer-reviewed, open access journal with the mission to advance the understanding and practice of participatory medicine among health care professionals and patients.\n\nIt is the Official Journal of the Society for Participatory Medicine.",description:e,path:aZ,slug:aZ,seq:S,enabled:c,environment:d,url:"https:\u002F\u002Fjopm.jmir.org",batch:f,year:av,colour:"#2ea3f2",impact:a,order:X,published:106,transfers:a,cite_score:aF},{journal_id:X,title:"JMIR Biomedical Engineering",tag:"Engineering for health technologies, medical devices, and innovative medical treatments and procedures.",description:e,path:a_,slug:a_,seq:g,enabled:c,environment:d,url:"https:\u002F\u002Fbiomedeng.jmir.org",batch:f,year:T,colour:x,impact:a,order:v,published:95,transfers:a,cite_score:a},{journal_id:g,title:al,tag:am,description:e,path:i,slug:i,seq:p,enabled:c,environment:d,url:an,batch:f,year:q,colour:x,impact:a,order:y,published:ao,transfers:a,cite_score:ap},{journal_id:43,title:"Asian\u002FPacific Island Nursing Journal",tag:"The official journal of the Asian American \u002F Pacific Islander Nurses Association (AAPINA), devoted to the exchange of knowledge in relation to Asian and Pacific Islander health and nursing care. Created to fill the gap between nursing science and behavioral\u002Fsocial sciences, the journal offers a forum for empirical, theoretical and methodological issues related to Asian American \u002F Pacific Islander ethnic, cultural values and beliefs and biological and physiological phenomena that can affect nursing care.",description:"The official journal of the Asian American \u002F Pacific Islander Nurses Association, this is a peer-reviewed, open access journal for the exchange of knowledge in relation to Asian and Pacific Islander health and nursing care. 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",description:a,path:bd,slug:bd,seq:be,enabled:c,environment:d,url:"https:\u002F\u002Fxr.jmir.org",batch:f,year:2024,colour:"#887ECB",impact:a,order:be,published:X,transfers:a,cite_score:a},{journal_id:35,title:"JMIRx Bio",tag:aK,description:e,path:bf,slug:bf,seq:aJ,enabled:c,environment:d,url:"https:\u002F\u002Fxbio.jmir.org",batch:f,year:2023,colour:"#bf2433",impact:a,order:U,published:t,transfers:a,cite_score:a},{journal_id:aX,title:"JMIR Data",tag:"A muldisciplinary journal to publish open datasets for analysis and re-analysis",description:e,path:bg,slug:bg,seq:N,enabled:c,environment:d,url:"https:\u002F\u002Fdata.jmir.org",batch:f,year:q,colour:"#5A6672",impact:a,order:P,published:s,transfers:a,cite_score:a},{journal_id:t,title:"JMIR Challenges",tag:"JMIR Challenges is a new platform connecting \"solution-seekers\" (sponsors such as companies or other researchers) with \"solution-providers\" (entrants, such as innovators, researchers, or developers in the ehealth space)",description:e,path:bh,slug:bh,seq:U,enabled:c,environment:d,url:"https:\u002F\u002Fchallenges.jmir.org",batch:f,year:T,colour:V,impact:a,order:W,published:f,transfers:a,cite_score:a},{journal_id:p,title:"JMIR Preprints",tag:"A preprint server for pre-publication\u002Fpre-peer-review preprints intended for community review as well as ahead-of-print (accepted) manuscripts",description:"Publish your paper for open peer-review.",path:bi,slug:bi,seq:K,enabled:c,environment:d,url:"https:\u002F\u002Fpreprints.jmir.org",batch:c,year:j,colour:V,impact:a,order:Q,published:c,transfers:a,cite_score:a}]},license:{},page:{data:a},pages:{data:{}},preprint:{data:a},searchArticles:{data:{}},searchAuthors:{data:[],pagination:{}},searchHelp:{data:{},error:a},sections:{data:[],allSections:[],journalSections:[]},submission:{data:{id:a,files:{toc:[],figures:[],appendicies:[],other:[]}},file:a,affiliation:a,suggestedAffiliations:a,events:{extraction:[]},errors:{}},subscription:{},theme:{data:[]},themes:{random:a,data:[],sortType:"pubDate",sortOrder:"desc"}},serverRendered:h,routePath:bj,config:{environment:d,_app:{basePath:bj,assetsPath:"\u002F_nuxt\u002F",cdnURL:a}}}}(null,70553,1,"production","",2,19,true,"bioinform",2015,2018,10,7,"Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data",1551,18,2020,12,5,22,31,26,false,"#474760",28,2012,15,27,2017,13,3,2013,39,9,6,"3.5",16,2014,4,20,30,33,29,21,23,2016,17,"#666666",32,24,"#f82a7d","JMIR Perioperative Medicine","https:\u002F\u002Fperiop.jmir.org","Unpacking Genomic Biomarkers For PD-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks","Background: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer-related mortality worldwide. PD-1 immunotherapy has shown promising results in the treatment of NSCLC; however, not all patients respond effectively to this treatment. Identifying predictive biomarkers for PD-1 therapy response is critical to improving patient outcomes and optimizing treatment strategies. Traditional methods of biomarker discovery often fall short in terms of accuracy and comprehensiveness. Recent advancements in deep learning provide a powerful approach to analyze complex genomic data and identify novel biomarkers that may predict therapeutic responses. Objective: This study aims to leverage machine learning techniques, particularly deep neural networks (DNN), to identify genomic biomarkers for predicting responses to PD-1 immunotherapy in NSCLC patients. By applying the DeepImmunoGene model to RNA-seq data, the study compares the performance of DNN, SVM, and XGBoost in predicting patient responses. It focuses on identifying key biomarkers through feature selection and deep learning that can enhance patient stratification and improve the accuracy of PD-1 immunotherapy predictions, contributing to more personalized treatment strategies. Methods: Differentially expressed genes (DEGs) were identified in RNA-seq data from 355 NSCLC patients using the LIMMA package in R, followed by preprocessing with log2 transformation. Machine learning models, including Support Vector Machines (SVM), XGBoost, and Deep Neural Networks (DNN), were employed to analyze gene expression data, with hyperparameters optimized using GridSearchCV. The DNN model's predictive performance was evaluated with permutation importance to identify genes critical for immunotherapy response. The models were trained on 284 patients, with 71 used for testing. Evaluation metrics like accuracy, AUC, precision, recall, specificity, and F1 score were used to assess performance. Statistical significance was tested using the Kruskal-Wallis test. Results: Initially, we identified 1,093 differentially expressed genes from RNA-seq data of 355 patients. We then trained models using SVM, XGBoost, and DNN to predict immunotherapy response. The DNN model outperformed both SVM and XGBoost with an accuracy of 82%, AUC of 90%, and recall of 0.85, significantly improving predictive performance by capturing non-linear relationships in gene expression data. To identify key biomarkers, we performed a permutation importance analysis, narrowing down the gene set to 98 genes. DeepImmunoGene, trained on these 98 genes, showed superior results, with an accuracy of 85% and an AUC of 90%. The top 36 upregulated genes in responders and 62 upregulated genes in non-responders were identified, which could serve as potential biomarkers for predicting response to PD-1 inhibitors. These findings suggest that the DeepImmunoGene model, with its ability to capture complex gene interactions, can reliably predict immunotherapy outcomes and provide insights into the molecular mechanisms of response, paving the way for more personalized treatment strategies. Conclusions: The DeepImmunoGene predictive model has successfully identified 36 upregulated genes that may serve as potential genomic biomarkers for predicting NSCLC patient responses to PD-1 immunotherapy. Notably, the ten most significant genes—GSTT2B, HMGA2, AC135050.2, ANKRD33B, MMP13, PLA2G2D, RASGEF1A, BIRC7, DCAF4L2, and CHMP7—offer valuable insights into the underlying mechanisms of treatment responses. These biomarkers not only help predict which patients are most likely to respond to PD-1 immunotherapy but also shed light on the molecular factors that explain non-response. ","Call for Papers: Theme Issue: Artificial Intelligence in Oncology","Theme Issue 2024: Artificial Intelligence in Oncology","Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots Through Large Language Models","The integration of chatbots in oncology underscores the pressing need for human-centered artificial intelligence (AI) that addresses patient and family concerns with empathy and precision. Human-centered AI emphasizes ethical principles, empathy, and user-centric approaches, ensuring technology aligns with human values and needs. This review critically examines the ethical implications of using large language models (LLMs) like GPT-3 and GPT-4 (OpenAI) in oncology chatbots. It examines how these models replicate human-like language patterns, impacting the design of ethical AI systems. The paper identifies key strategies for ethically developing oncology chatbots, focusing on potential biases arising from extensive datasets and neural networks. Specific datasets, such as those sourced from predominantly Western medical literature and patient interactions, may introduce biases by overrepresenting certain demographic groups. Moreover, the training methodologies of LLMs, including fine-tuning processes, can exacerbate these biases, leading to outputs that may disproportionately favor affluent or Western populations while neglecting marginalized communities. By providing examples of biased outputs in oncology chatbots, the review highlights the ethical challenges LLMs present and the need for mitigation strategies. The study emphasizes integrating human-centric values into AI to mitigate these biases, ultimately advocating for the development of oncology chatbots that are aligned with ethical principles and capable of serving diverse patient populations equitably.","https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F2d3fb0d9e0d20ba00e16e3c3ab35c462.png","\u002F2024\u002F1\u002Fe64406",439,"https:\u002F\u002Fasset.jmir.pub\u002Fplaceholder.svg","Bioinformatics, genomics, tools and databases",1358,"JMIR Bioinformatics and Biotechnology","Methods, devices, web-based platforms, open data and open software tools for big data analytics, understanding biological\u002Fmedical data, and information retrieval in biology and medicine.","https:\u002F\u002Fbioinform.jmir.org",52,"2.9","jmir","formative","mhealth","#65AD8C","ojphi",2009,"publichealth","medinform","mental","4.8","humanfactors",8,11,"games","mededu","3.2","iproc","aging",14,34,"Overlay journal for preprints with post-review manuscript marketplace","xmed","pediatrics","cancer","derma","diabetes","rehab","cardio","infodemiology",41,"ai",2022,"periop",25,"nursing","jopm","biomedeng","apinj","#3399ff",36,"neuro","xr",40,"xbio","data","challenges","preprints","\u002F"));</script><script src="/_nuxt/def8c2f.js" defer></script><script src="/_nuxt/ec4ebf7.js" defer></script><script src="/_nuxt/e6d5ddf.js" defer></script><script src="/_nuxt/52deb81.js" defer></script><script src="/_nuxt/acc130d.js" defer></script><script src="/_nuxt/c4875d1.js" defer></script><script src="/_nuxt/de22cf2.js" defer></script><script src="/_nuxt/272e41f.js" defer></script><script src="/_nuxt/0e404ba.js" defer></script><script src="/_nuxt/bc1d046.js" defer></script><script src="/_nuxt/0a623e2.js" defer></script><script src="/_nuxt/aaeb3f3.js" defer></script><script src="/_nuxt/e1c01cc.js" defer></script><script src="/_nuxt/e7e2711.js" defer></script><script src="/_nuxt/5b50ad1.js" defer></script><script src="/_nuxt/a08df65.js" defer></script><script src="/_nuxt/80e3a87.js" defer></script><script src="/_nuxt/9eaf572.js" defer></script><script src="/_nuxt/6449bae.js" defer></script><script src="/_nuxt/86e21e5.js" defer></script><script src="/_nuxt/6a7c5fd.js" defer></script><script src="/_nuxt/b70127a.js" defer></script><script src="/_nuxt/0a2f4e9.js" defer></script><script src="/_nuxt/5c7c84c.js" defer></script><script src="/_nuxt/69f73c5.js" defer></script><script src="/_nuxt/6ec1484.js" defer></script><script src="/_nuxt/0bb41a6.js" defer></script><script src="/_nuxt/ea749e9.js" defer></script><script src="/_nuxt/c58e2b9.js" defer></script><script src="/_nuxt/6371161.js" defer></script><script src="/_nuxt/3b165fb.js" defer></script><script src="/_nuxt/2eb7ada.js" defer></script><script src="/_nuxt/4560225.js" defer></script><script src="/_nuxt/717c509.js" defer></script><script src="/_nuxt/2d957c3.js" defer></script><script src="/_nuxt/16d0bda.js" defer></script><script src="/_nuxt/9ae5aa1.js" defer></script><script src="/_nuxt/56dcdd2.js" defer></script><script src="/_nuxt/d752c56.js" defer></script><script src="/_nuxt/0bc7611.js" defer></script><script src="/_nuxt/46cc98b.js" defer></script><script src="/_nuxt/6f71755.js" defer></script><script src="/_nuxt/90f137e.js" defer></script><script src="/_nuxt/d1018d4.js" defer></script><script src="/_nuxt/6d3320f.js" defer></script><script src="/_nuxt/edbb271.js" defer></script><script src="/_nuxt/a45d330.js" defer></script><script src="/_nuxt/f9b6561.js" defer></script><script src="/_nuxt/0ffddb9.js" defer></script><script src="/_nuxt/f12c051.js" defer></script><script src="/_nuxt/6d68443.js" defer></script><script data-n-head="ssr" src="https://d1bxh8uas1mnw7.cloudfront.net/assets/embed.js" data-body="true" defer></script><script data-n-head="ssr" src="https://badge.dimensions.ai/badge.js" data-body="true" defer></script><script data-n-head="ssr" type="text/javascript" charset="utf-8" data-body="true">_linkedin_partner_id = "3149908"; window._linkedin_data_partner_ids = window._linkedin_data_partner_ids || []; window._linkedin_data_partner_ids.push(_linkedin_partner_id);</script><script data-n-head="ssr" type="text/javascript" charset="utf-8" data-body="true">(function(l) { if (!l){window.lintrk = function(a,b){window.lintrk.q.push([a,b])}; window.lintrk.q=[]} var s = document.getElementsByTagName("script")[0]; var b = document.createElement("script"); b.type = "text/javascript";b.async = true; b.src = "https://snap.licdn.com/li.lms-analytics/insight.min.js"; s.parentNode.insertBefore(b, s);})(window.lintrk);</script></body></html>