Search results for: Inessa Pak

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Pak</title> <meta name="description" content="Search results for: Inessa Pak"> <meta name="keywords" content="Inessa Pak"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Inessa Pak"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Inessa Pak</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Optimizing Glycemic Control with AI-Guided Dietary Supplements: A Randomized Trial in Type 2 Diabetes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Evgeny%20Pokushalov">Evgeny Pokushalov</a>, <a href="https://publications.waset.org/abstracts/search?q=Claire%20Garcia"> Claire Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrey%20Ponomarenko"> Andrey Ponomarenko</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Smith"> John Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Johnson"> Michael Johnson</a>, <a href="https://publications.waset.org/abstracts/search?q=Inessa%20Pak"> Inessa Pak</a>, <a href="https://publications.waset.org/abstracts/search?q=Evgenya%20Shrainer"> Evgenya Shrainer</a>, <a href="https://publications.waset.org/abstracts/search?q=Dmitry%20Kudlay"> Dmitry Kudlay</a>, <a href="https://publications.waset.org/abstracts/search?q=Leila%20Kasimova"> Leila Kasimova</a>, <a href="https://publications.waset.org/abstracts/search?q=Richard%20Miller"> Richard Miller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study evaluated the efficacy of an AI-guided dietary supplement regimen compared to a standard physician-guided regimen in managing Type 2 diabetes (T2D). A total of 160 patients were randomly assigned to either the AI-guided group (n=80) or the physician-guided group (n=80) and followed over 90 days. The AI-guided group received 5.3 ± 1.2 supplements per patient, while the physician-guided group received 2.7 ± 0.6 supplements per patient. The AI system personalized supplement types and dosages based on individual genetic and metabolic profiles. The AI-guided group showed a significant reduction in HbA1c levels from 7.5 ± 0.8% to 7.1 ± 0.7%, compared to a reduction from 7.6 ± 0.9% to 7.4 ± 0.8% in the physician-guided group (mean difference: -0.3%, 95% CI: -0.5% to -0.1%; p < 0.01). Secondary outcomes, including fasting plasma glucose, HOMA-IR, and insulin levels, also improved more in the AI-guided group. Subgroup analyses revealed that the AI-guided regimen was particularly effective in patients with specific genetic polymorphisms and elevated metabolic markers. Safety profiles were comparable between both groups, with no serious adverse events reported. In conclusion, the AI-guided dietary supplement regimen significantly improved glycemic control and metabolic health in T2D patients compared to the standard physician-guided approach, demonstrating the potential of personalized AI-driven interventions in diabetes management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Type%202%20diabetes" title="Type 2 diabetes">Type 2 diabetes</a>, <a href="https://publications.waset.org/abstracts/search?q=AI-guided%20supplementation" title=" AI-guided supplementation"> AI-guided supplementation</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=glycemic%20control" title=" glycemic control"> glycemic control</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20health" title=" metabolic health"> metabolic health</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20polymorphisms" title=" genetic polymorphisms"> genetic polymorphisms</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20supplements" title=" dietary supplements"> dietary supplements</a>, <a href="https://publications.waset.org/abstracts/search?q=HbA1c" title=" HbA1c"> HbA1c</a>, <a href="https://publications.waset.org/abstracts/search?q=fasting%20plasma%20glucose" title=" fasting plasma glucose"> fasting plasma glucose</a>, <a href="https://publications.waset.org/abstracts/search?q=HOMA-IR" title=" HOMA-IR"> HOMA-IR</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20nutrition" title=" personalized nutrition"> personalized nutrition</a> </p> <a href="https://publications.waset.org/abstracts/194485/optimizing-glycemic-control-with-ai-guided-dietary-supplements-a-randomized-trial-in-type-2-diabetes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194485.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">10</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Optimizing Weight Loss with AI (GenAISᵀᴹ): A Randomized Trial of Dietary Supplement Prescriptions in Obese Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Evgeny%20Pokushalov">Evgeny Pokushalov</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrey%20Ponomarenko"> Andrey Ponomarenko</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Smith"> John Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Johnson"> Michael Johnson</a>, <a href="https://publications.waset.org/abstracts/search?q=Claire%20Garcia"> Claire Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Inessa%20Pak"> Inessa Pak</a>, <a href="https://publications.waset.org/abstracts/search?q=Evgenya%20Shrainer"> Evgenya Shrainer</a>, <a href="https://publications.waset.org/abstracts/search?q=Dmitry%20Kudlay"> Dmitry Kudlay</a>, <a href="https://publications.waset.org/abstracts/search?q=Sevda%20Bayramova"> Sevda Bayramova</a>, <a href="https://publications.waset.org/abstracts/search?q=Richard%20Miller"> Richard Miller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity is a complex, multifactorial chronic disease that poses significant health risks. Recent advancements in artificial intelligence (AI) offer the potential for more personalized and effective dietary supplement (DS) regimens to promote weight loss. This study aimed to evaluate the efficacy of AI-guided DS prescriptions compared to standard physician-guided DS prescriptions in obese patients. Methods: This randomized, parallel-group pilot study enrolled 60 individuals aged 40 to 60 years with a body mass index (BMI) of 25 or greater. Participants were randomized to receive either AI-guided DS prescriptions (n = 30) or physician-guided DS prescriptions (n = 30) for 180 days. The primary endpoints were the percentage change in body weight and the proportion of participants achieving a ≥5% weight reduction. Secondary endpoints included changes in BMI, fat mass, visceral fat rating, systolic and diastolic blood pressure, lipid profiles, fasting plasma glucose, hsCRP levels, and postprandial appetite ratings. Adverse events were monitored throughout the study. Results: Both groups were well balanced in terms of baseline characteristics. Significant weight loss was observed in the AI-guided group, with a mean reduction of -12.3% (95% CI: -13.1 to -11.5%) compared to -7.2% (95% CI: -8.1 to -6.3%) in the physician-guided group, resulting in a treatment difference of -5.1% (95% CI: -6.4 to -3.8%; p < 0.01). At day 180, 84.7% of the AI-guided group achieved a weight reduction of ≥5%, compared to 54.5% in the physician-guided group (Odds Ratio: 4.3; 95% CI: 3.1 to 5.9; p < 0.01). Significant improvements were also observed in BMI, fat mass, and visceral fat rating in the AI-guided group (p < 0.01 for all). Postprandial appetite suppression was greater in the AI-guided group, with significant reductions in hunger and prospective food consumption, and increases in fullness and satiety (p < 0.01 for all). Adverse events were generally mild-to-moderate, with higher incidences of gastrointestinal symptoms in the AI-guided group, but these were manageable and did not impact adherence. Conclusion: The AI-guided dietary supplement regimen was more effective in promoting weight loss, improving body composition, and suppressing appetite compared to the physician-guided regimen. These findings suggest that AI-guided, personalized supplement prescriptions could offer a more effective approach to managing obesity. Further research with larger sample sizes is warranted to confirm these results and optimize AI-based interventions for weight loss. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity" title="obesity">obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=AI-guided" title=" AI-guided"> AI-guided</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20supplements" title=" dietary supplements"> dietary supplements</a>, <a href="https://publications.waset.org/abstracts/search?q=weight%20loss" title=" weight loss"> weight loss</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20health" title=" metabolic health"> metabolic health</a>, <a href="https://publications.waset.org/abstracts/search?q=appetite%20suppression" title=" appetite suppression"> appetite suppression</a> </p> <a href="https://publications.waset.org/abstracts/194486/optimizing-weight-loss-with-ai-genais-a-randomized-trial-of-dietary-supplement-prescriptions-in-obese-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194486.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">8</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" 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Search results for: Inessa Pak