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padding-section-xxlarge"></div></div></div></section><section class="section_ai-hero"><div class="padding-global"><div class="container-large"><div class="interior-hero_content"><div class="max-width-xlarge"><h1 class="heading-style-h1">AI Research</h1></div></div></div></div></section><div data-w-id="83507e6e-86e6-3e15-befe-2dd996e0bb97" class="sections-wrapper"><section id="technology" class="section_ai-publications"><div class="padding-global"><div class="container-large"><div class="padding-section-large"><div class="ai-publications_content"><div class="ai-publications_header"><div><h2>Publications</h2></div><div><div class="padding-bottom padding-xxsmall"></div><p>As a product-driven AI company, we innovate, train, and deploy generative models that create digital twins of individual patients. Today, digital twins solve key pain points across clinical development, delivered through the Unlearn Platform. As we continuously improve our AI, we aim to reengineer medicine as a computational science.</p></div></div><div class="padding-bottom padding-section-large"></div><div class="whitepaper-banner_wrapper"><h2 class="text-style-label">Whitepaper</h2><div class="padding-bottom padding-large"></div><div class="whitepaper-banner_layout"><div class="max-width-large"><h3 class="heading-style-h3">Defining Digital Twins in Drug Discovery and Development</h3></div><a data-w-id="ad826bbb-caa3-21aa-c90d-8932a2bc06af" href="http://www.unlearn.ai/forms/defining-digital-twins-in-drug-discovery-and-development" target="_blank" class="button w-inline-block"><div class="button_text">Download</div><img src="https://cdn.prod.website-files.com/66fc2ff3074bb309fb4d56fc/66fc2ff3074bb309fb4d5845_button-blur.png" loading="lazy" width="290" style="-webkit-transform:translate3d(0%, 0%, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(0%, 0%, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(0%, 0%, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(0%, 0%, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0)" alt="" class="button-blur"/></a></div></div><div class="padding-bottom padding-section-large"></div><div class="ai-publications_body"><div class="publications_list-wrapper w-dyn-list"><div role="list" class="publications_list w-dyn-items"><div role="listitem" class="publications_list-item w-dyn-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/2405.01488" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Digital Twin Generators for Disease Modeling</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a2490e-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24910-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24911-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24913-fb4d57c7" class="publications-card_meta-value">May 2, 2024</div></div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24914-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2405.01488" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 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19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></div><div role="listitem" class="publications_list-item w-dyn-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://www.unlearn.ai/forms/defining-digital-twins-in-drug-discovery-and-development" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Defining digital twins in drug discovery and development</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a2490e-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24910-fb4d57c7" class="publications-card_meta-value">Unlearn</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24911-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24913-fb4d57c7" class="publications-card_meta-value">March 20, 2024</div></div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24914-fb4d57c7" class="publications-card_button-wrapper"><a href="https://www.unlearn.ai/forms/defining-digital-twins-in-drug-discovery-and-development" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 11.1692H15.4753C15.5175 11.1696 15.5586 11.1828 15.5932 11.207C15.6278 11.2311 15.6543 11.2652 15.6692 11.3046C15.6841 11.3441 15.6867 11.3872 15.6766 11.4281C15.6666 11.4691 15.6444 11.5061 15.6129 11.5342L8.40792 17.8667C8.28192 17.9684 8.1778 18.0945 8.10182 18.2373C8.02584 18.3802 7.97958 18.537 7.96582 18.6982C7.95205 18.8594 7.97107 19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></div><div role="listitem" class="publications_list-item w-dyn-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/2305.08337" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Neural Boltzmann Machines</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a2490e-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24910-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24911-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24913-fb4d57c7" class="publications-card_meta-value">May 15, 2023</div></div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24914-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2305.08337" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 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class="publications_list-item w-dyn-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/2012.13455" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a2490e-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24910-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24911-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24913-fb4d57c7" class="publications-card_meta-value">December 24, 2020</div></div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24914-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2012.13455" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 11.1692H15.4753C15.5175 11.1696 15.5586 11.1828 15.5932 11.207C15.6278 11.2311 15.6543 11.2652 15.6692 11.3046C15.6841 11.3441 15.6867 11.3872 15.6766 11.4281C15.6666 11.4691 15.6444 11.5061 15.6129 11.5342L8.40792 17.8667C8.28192 17.9684 8.1778 18.0945 8.10182 18.2373C8.02584 18.3802 7.97958 18.537 7.96582 18.6982C7.95205 18.8594 7.97107 19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></div><div role="listitem" class="publications_list-item w-dyn-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/2002.02779" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a2490e-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24910-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24911-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24913-fb4d57c7" class="publications-card_meta-value">February 4, 2020</div></div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24914-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2002.02779" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 11.1692H15.4753C15.5175 11.1696 15.5586 11.1828 15.5932 11.207C15.6278 11.2311 15.6543 11.2652 15.6692 11.3046C15.6841 11.3441 15.6867 11.3872 15.6766 11.4281C15.6666 11.4691 15.6444 11.5061 15.6129 11.5342L8.40792 17.8667C8.28192 17.9684 8.1778 18.0945 8.10182 18.2373C8.02584 18.3802 7.97958 18.537 7.96582 18.6982C7.95205 18.8594 7.97107 19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></div><div role="listitem" class="publications_list-item w-dyn-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://www.nature.com/articles/s41598-019-49656-2" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Machine learning for comprehensive forecasting of Alzheimer’s Disease progression</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a2490e-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24910-fb4d57c7" class="publications-card_meta-value">Nature</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24911-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24913-fb4d57c7" class="publications-card_meta-value">September 20, 2019</div></div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24914-fb4d57c7" class="publications-card_button-wrapper"><a href="https://www.nature.com/articles/s41598-019-49656-2" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 11.1692H15.4753C15.5175 11.1696 15.5586 11.1828 15.5932 11.207C15.6278 11.2311 15.6543 11.2652 15.6692 11.3046C15.6841 11.3441 15.6867 11.3872 15.6766 11.4281C15.6666 11.4691 15.6444 11.5061 15.6129 11.5342L8.40792 17.8667C8.28192 17.9684 8.1778 18.0945 8.10182 18.2373C8.02584 18.3802 7.97958 18.537 7.96582 18.6982C7.95205 18.8594 7.97107 19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></div><div role="listitem" class="publications_list-item w-dyn-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/1803.08823" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">A high-bias, low-variance introduction to Machine Learning for physicists</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a2490e-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24910-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24911-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24913-fb4d57c7" class="publications-card_meta-value">May 27, 2019</div></div><div id="w-node-_68869d2c-b281-ba41-c373-dd8260a24914-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/1803.08823" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 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class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-f00e1fa7-2c6f-2156-3d12-bf6edc6984bb-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-f00e1fa7-2c6f-2156-3d12-bf6edc6984bd-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-f00e1fa7-2c6f-2156-3d12-bf6edc6984bf-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-f00e1fa7-2c6f-2156-3d12-bf6edc6984c1-fb4d57c7" class="publications-card_meta-value">April 26, 2024</div></div><div id="w-node-f00e1fa7-2c6f-2156-3d12-bf6edc6984c3-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2404.17576" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 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id="w-node-_3fd18ac9-d58e-fc8e-808a-b0602acfca93-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_3fd18ac9-d58e-fc8e-808a-b0602acfca95-fb4d57c7" class="publications-card_meta-value">Unlearn</div><div id="w-node-_3fd18ac9-d58e-fc8e-808a-b0602acfca97-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_3fd18ac9-d58e-fc8e-808a-b0602acfca99-fb4d57c7" class="publications-card_meta-value">March 20, 2024</div></div><div id="w-node-_3fd18ac9-d58e-fc8e-808a-b0602acfca9b-fb4d57c7" class="publications-card_button-wrapper"><a href="https://www.unlearn.ai/forms/defining-digital-twins-in-drug-discovery-and-development" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 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19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></li><li class="publications_list-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/2305.08337" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Neural Boltzmann Machines</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-a160e302-c335-a574-8d6d-e883b42cb2e8-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-a160e302-c335-a574-8d6d-e883b42cb2ea-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-a160e302-c335-a574-8d6d-e883b42cb2ec-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-a160e302-c335-a574-8d6d-e883b42cb2ee-fb4d57c7" class="publications-card_meta-value">May 15, 2023</div></div><div id="w-node-a160e302-c335-a574-8d6d-e883b42cb2f0-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2305.08337" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 11.1692H15.4753C15.5175 11.1696 15.5586 11.1828 15.5932 11.207C15.6278 11.2311 15.6543 11.2652 15.6692 11.3046C15.6841 11.3441 15.6867 11.3872 15.6766 11.4281C15.6666 11.4691 15.6444 11.5061 15.6129 11.5342L8.40792 17.8667C8.28192 17.9684 8.1778 18.0945 8.10182 18.2373C8.02584 18.3802 7.97958 18.537 7.96582 18.6982C7.95205 18.8594 7.97107 19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></li><li class="publications_list-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/2012.13455" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-fd5438f1-1fdd-1dad-e88d-75dcf74bbb0a-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-fd5438f1-1fdd-1dad-e88d-75dcf74bbb0c-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-fd5438f1-1fdd-1dad-e88d-75dcf74bbb0e-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-fd5438f1-1fdd-1dad-e88d-75dcf74bbb10-fb4d57c7" class="publications-card_meta-value">December 24, 2020</div></div><div id="w-node-fd5438f1-1fdd-1dad-e88d-75dcf74bbb12-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2012.13455" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 11.1692H15.4753C15.5175 11.1696 15.5586 11.1828 15.5932 11.207C15.6278 11.2311 15.6543 11.2652 15.6692 11.3046C15.6841 11.3441 15.6867 11.3872 15.6766 11.4281C15.6666 11.4691 15.6444 11.5061 15.6129 11.5342L8.40792 17.8667C8.28192 17.9684 8.1778 18.0945 8.10182 18.2373C8.02584 18.3802 7.97958 18.537 7.96582 18.6982C7.95205 18.8594 7.97107 19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></li><li class="publications_list-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/2002.02779" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_77cb8db6-0b06-2ba9-d8d4-56b71d6a42db-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_77cb8db6-0b06-2ba9-d8d4-56b71d6a42dd-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_77cb8db6-0b06-2ba9-d8d4-56b71d6a42df-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_77cb8db6-0b06-2ba9-d8d4-56b71d6a42e1-fb4d57c7" class="publications-card_meta-value">February 4, 2020</div></div><div id="w-node-_77cb8db6-0b06-2ba9-d8d4-56b71d6a42e3-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/2002.02779" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 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class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">Machine learning for comprehensive forecasting of Alzheimer’s Disease progression</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_2e10974a-9f4f-1224-6c16-503c43b8b1be-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_2e10974a-9f4f-1224-6c16-503c43b8b1c0-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_2e10974a-9f4f-1224-6c16-503c43b8b1c2-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_2e10974a-9f4f-1224-6c16-503c43b8b1c4-fb4d57c7" class="publications-card_meta-value">September 20, 2019</div></div><div id="w-node-_2e10974a-9f4f-1224-6c16-503c43b8b1c6-fb4d57c7" class="publications-card_button-wrapper"><a href="https://www.nature.com/articles/s41598-019-49656-2" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 8.76953H1.20125C0.88266 8.76953 0.577117 8.89595 0.351838 9.12096C0.12656 9.34598 0 9.65116 0 9.96938C0 10.2876 0.12656 10.5928 0.351838 10.8178C0.577117 11.0428 0.88266 11.1692 1.20125 11.1692H15.4753C15.5175 11.1696 15.5586 11.1828 15.5932 11.207C15.6278 11.2311 15.6543 11.2652 15.6692 11.3046C15.6841 11.3441 15.6867 11.3872 15.6766 11.4281C15.6666 11.4691 15.6444 11.5061 15.6129 11.5342L8.40792 17.8667C8.28192 17.9684 8.1778 18.0945 8.10182 18.2373C8.02584 18.3802 7.97958 18.537 7.96582 18.6982C7.95205 18.8594 7.97107 19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></li><li class="publications_list-item"><div class="publications-card_component"><div class="publications-card_body"><a href="https://arxiv.org/abs/1803.08823" target="_blank" class="publications-card_heading-wrapper w-inline-block"><div class="heading-style-h5">A high-bias, low-variance introduction to Machine Learning for physicists</div></a></div><div class="padding-bottom padding-large"></div><div class="publications-card_footer"><div class="publications-card_meta"><div id="w-node-_7247e40b-f833-4584-a78f-9ad1b70c8f89-fb4d57c7" class="publications-card_meta-title">Publisher</div><div id="w-node-_7247e40b-f833-4584-a78f-9ad1b70c8f8b-fb4d57c7" class="publications-card_meta-value">arXiv</div><div id="w-node-_7247e40b-f833-4584-a78f-9ad1b70c8f8d-fb4d57c7" class="publications-card_meta-title">Date</div><div id="w-node-_7247e40b-f833-4584-a78f-9ad1b70c8f8f-fb4d57c7" class="publications-card_meta-value">May 27, 2019</div></div><div id="w-node-_7247e40b-f833-4584-a78f-9ad1b70c8f91-fb4d57c7" class="publications-card_button-wrapper"><a href="https://arxiv.org/abs/1803.08823" target="_blank" class="publications-card_button w-inline-block"><div class="publications-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 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19.0217 8.02173 19.1754C8.07238 19.3291 8.15363 19.4709 8.26058 19.5924C8.36753 19.7139 8.49798 19.8126 8.64408 19.8824C8.79019 19.9523 8.94892 19.9919 9.11074 19.9989C9.27257 20.0059 9.43414 19.9801 9.58574 19.9231C9.73734 19.8662 9.87584 19.7792 9.99291 19.6674L19.3201 11.4692C19.5332 11.2814 19.7039 11.0506 19.8211 10.7921C19.9383 10.5336 19.9993 10.2532 20 9.96938Z" fill="currentColor"/> </svg></div></a></div></div></div></li></ul></div></div></div></div></div></div></section><section id="technology" class="section_ai-blog"><div class="padding-global"><div class="container-large"><div class="padding-section-large"><div class="ai-blog_content"><div class="ai-blog_header"><h2 class="text-style-label">Blog</h2><div class="padding-bottom padding-medium"></div><h3>Our perspectives</h3><div class="padding-bottom padding-large"></div><a href="/blog" class="text-size-large text-style-link">View all</a></div><div class="padding-bottom padding-section-large"></div><div 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class="blog-card_image"/></div></div><div class="blog-card_body is-blue-background_card"><a href="https://www.unlearn.ai/blog/creating-patients-digital-twins-with-neural-boltzmann-machines-for-clinical-timeseries" class="blog-card_heading-wrapper w-inline-block"><div class="heading-style-h6">Creating Patients’ Digital Twins with Neural Boltzmann Machines for Clinical Time series</div></a><div class="padding-bottom padding-xsmall"></div><div class="blog-card_footer"><div class="blog-card_meta"><div id="w-node-d689abe5-b8c6-e549-409b-e1e85be53be3-fb4d57c7" class="blog-card_meta-title">Date</div><div id="w-node-d689abe5-b8c6-e549-409b-e1e85be53be5-fb4d57c7" class="blog-card_meta-value">January 2, 2024</div></div><div class="blog-card_button-wrapper"><a href="https://www.unlearn.ai/blog/creating-patients-digital-twins-with-neural-boltzmann-machines-for-clinical-timeseries" class="card_button w-inline-block"><div class="blog-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" 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srcset="https://cdn.prod.website-files.com/66fc2ff3074bb309fb4d56fc/66fc2ff3074bb309fb4d598c_blog-card-thumbnail_digital-twin-generation-architecture-p-500.webp 500w, https://cdn.prod.website-files.com/66fc2ff3074bb309fb4d56fc/66fc2ff3074bb309fb4d598c_blog-card-thumbnail_digital-twin-generation-architecture-p-800.webp 800w, https://cdn.prod.website-files.com/66fc2ff3074bb309fb4d56fc/66fc2ff3074bb309fb4d598c_blog-card-thumbnail_digital-twin-generation-architecture.webp 972w" alt="" class="blog-card_image"/></div></div><div class="blog-card_body is-blue-background_card"><a href="https://www.unlearn.ai/blog/introducing-unlearns-new-digital-twin-generation-architecture" class="blog-card_heading-wrapper w-inline-block"><div class="heading-style-h6">Introducing Unlearn's new Digital Twin Generation Architecture</div></a><div class="padding-bottom padding-xsmall"></div><div class="blog-card_footer"><div class="blog-card_meta"><div id="w-node-d09b8675-ecfe-1491-2159-09a2fa875270-fb4d57c7" class="blog-card_meta-title">Date</div><div id="w-node-d09b8675-ecfe-1491-2159-09a2fa875272-fb4d57c7" class="blog-card_meta-value">May 30, 2023</div></div><div class="blog-card_button-wrapper"><a href="https://www.unlearn.ai/blog/introducing-unlearns-new-digital-twin-generation-architecture" class="card_button w-inline-block"><div class="blog-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 0.0294672 8.53767 0.174228 8.33217 0.4078C8.12666 0.641373 8.01997 0.945512 8.03456 1.25612C8.04916 1.56673 8.18392 1.85955 8.41043 2.07286L15.6154 8.40541C15.647 8.43341 15.6694 8.47034 15.6795 8.5113C15.6896 8.55227 15.687 8.59534 15.6721 8.63481C15.6572 8.67428 15.6306 8.7083 15.5959 8.73236C15.5612 8.75641 15.52 8.76938 15.4778 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href="https://www.unlearn.ai/blog/introducing-neural-boltzmann-machines" class="blog-card_heading-wrapper w-inline-block"><div class="heading-style-h6">Introducing Neural Boltzmann Machines</div></a><div class="padding-bottom padding-xsmall"></div><div class="blog-card_footer"><div class="blog-card_meta"><div id="w-node-_72babe8e-a709-09a1-8d84-c04518d6b943-fb4d57c7" class="blog-card_meta-title">Date</div><div id="w-node-_72babe8e-a709-09a1-8d84-c04518d6b945-fb4d57c7" class="blog-card_meta-value">March 31, 2022</div></div><div class="blog-card_button-wrapper"><a href="https://www.unlearn.ai/blog/introducing-neural-boltzmann-machines" class="card_button w-inline-block"><div class="blog-card_button-icon w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="20" viewBox="0 0 20 20" fill="none"> <path d="M20 9.96938C19.9993 9.68567 19.9384 9.40533 19.8213 9.14682C19.7043 8.88831 19.5338 8.6575 19.321 8.46957L9.99541 0.271417C9.75452 0.0744488 9.44648 -0.0214162 9.13621 0.00402553C8.82594 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