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		<title>Wyss InstituteComputer Science &#8211; Wyss Institute</title>
		<link>https://wyss.harvard.edu</link>
		<description>Wyss Institute at Harvard</description>
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				<title>Russell Gould on using data to solve problems</title>
				<link>https://wyss.harvard.edu/news/humans-of-the-wyss-russell-gould-on-using-data-to-solve-problems/</link>
        <pubDate>Tue, 27 Jan 2026 13:45:43 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Community]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Humans of the Wyss]]></category>
		<category><![CDATA[Translational AI Catalyst]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=44626</guid>
                                                <content:encoded><![CDATA[<p>The Humans of the Wyss (HOW) series features members of the Wyss community discussing their work, the influences that shape them as professionals, and their collaborations at the Wyss Institute and beyond. Russell Gould wants to know why. Seeking a flexible, open career path after serving in the military, he gravitated toward science, where he was encouraged to ask questions about the unknown.</p>
<p><a href="https://wyss.harvard.edu/news/humans-of-the-wyss-russell-gould-on-using-data-to-solve-problems/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
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          <link>https://wyss.harvard.edu/news/humans-of-the-wyss-russell-gould-on-using-data-to-solve-problems/</link>
          <title>Russell Gould, Scientist II. Credit: Wyss Institute at Harvard University</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2026/01/26161118/HoW-Russell-Gould-06892-scaled.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=e8de44a38431f2d443606563e7821802"/></url>
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			<item>
				<title>Forging a novel therapeutic path for patients with Rett Syndrome using AI</title>
				<link>https://wyss.harvard.edu/news/forging-a-novel-therapeutic-path-for-patients-with-rett-syndrome-with-ai/</link>
        <pubDate>Wed, 02 Jul 2025 13:55:03 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Press Releases]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Biomedical Engineering]]></category>
		<category><![CDATA[CRISPR]]></category>
		<category><![CDATA[Donald E. Ingber]]></category>
		<category><![CDATA[Michael Levin]]></category>
		<category><![CDATA[Systems Biology]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=43198</guid>
                            <description>AI-enabled drug discovery approach identified potentially game-changing treatment, which has been advanced from the lab bench to an FDA Orphan Drug Designation in record time</description>
                                        <content:encoded><![CDATA[<p>By Benjamin Boettner (BOSTON) &mdash; Rett syndrome is a devastating, rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it, and much fewer boys. It is caused by mutations in the MeCP2 gene on the X chromosome, leading to a spectrum of cognitive and physical impairments, including repetitive hand motions, speech difficulties, and seizures. However&#8230;</p>
<p><a href="https://wyss.harvard.edu/news/forging-a-novel-therapeutic-path-for-patients-with-rett-syndrome-with-ai/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/news/forging-a-novel-therapeutic-path-for-patients-with-rett-syndrome-with-ai/</link>
          <title>Tiffany Lin, Magnificent Microscopy, RUNNER UP: Multi-photon image of entire <em>Xenopus</em> brain (Dorsal)</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2022/08/17171224/Photo10.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=158196cf8e816cae4e6fed32e5afb2f5"/></url>
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			<item>
				<title>Beyond Animals: Revolutionizing Drug Discovery with Human-Relevant Models</title>
				<link>https://wyss.harvard.edu/news/beyond-animals-revolutionizing-drug-discovery-with-human-relevant-models/</link>
        <pubDate>Wed, 02 Apr 2025 12:55:09 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Community]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Code to Cure]]></category>
		<category><![CDATA[Computation]]></category>
		<category><![CDATA[Translational AI Catalyst]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=42388</guid>
                                                <content:encoded><![CDATA[<p>Code to Cure is a newsletter co&#x2d;hosted by the Wyss Institute at Harvard University and Milad Alucozai on the intersection of AI, biology, and healthcare transforming medicine. By Milad Alucozai, Abishek Kulshreshtha, Megan Sperry, and Klaus Romero The average new drug requires over 15 years and $2 billion in funding to traverse the journey from discovery to full approval.</p>
<p><a href="https://wyss.harvard.edu/news/beyond-animals-revolutionizing-drug-discovery-with-human-relevant-models/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/news/beyond-animals-revolutionizing-drug-discovery-with-human-relevant-models/</link>
          <title>This issue was written by (left to right) Milad Alucozai, MSc, MPH, Abishek Kulshreshtha, Ph.D., Megan Sperry, Ph.D., and Klaus Romero, M.D., M.S., FCP. Credit: Wyss Institute at Harvard University</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2025/03/31113951/CodetoCureFeatureImage_Post3-2-scaled.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=a058074b15cf5f628108c0ea17e07b10"/></url>
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				<title>From Data to Drugs: The Role of Artificial Intelligence in Drug Discovery</title>
				<link>https://wyss.harvard.edu/news/from-data-to-drugs-the-role-of-artificial-intelligence-in-drug-discovery/</link>
        <pubDate>Thu, 09 Jan 2025 14:00:56 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Community]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Code to Cure]]></category>
		<category><![CDATA[Computation]]></category>
		<category><![CDATA[Translational AI Catalyst]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=41791</guid>
                                                <content:encoded><![CDATA[<p>Code to Cure is a newsletter co&#x2d;hosted by the Wyss Institute at Harvard University and Milad Alucozai on the intersection of AI, biology, and healthcare transforming medicine. By Milad Alucozai, Will Fondrie, and Megan Sperry Traditional drug discovery is slow, expensive, and prone to high clinical failure rates due to poor safety profiles, lack of efficacy, or both. Developing a new drug&#8230;</p>
<p><a href="https://wyss.harvard.edu/news/from-data-to-drugs-the-role-of-artificial-intelligence-in-drug-discovery/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/news/from-data-to-drugs-the-role-of-artificial-intelligence-in-drug-discovery/</link>
          <title>This issue was written by (left to right) Milad Alucozai, MSc, MPH, DrPH., Will Fondrie, Ph.D., and Megan Sperry, Ph.D. Credit: Wyss Institute at Harvard University</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2025/01/07123219/CodetoCureFeatureImage_Post2.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=bd7b27720f0b105c6bc40155f7eafcc1"/></url>
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			<item>
				<title>From Bits to Biology: A New Era of Biological Renaissance powered by AI</title>
				<link>https://wyss.harvard.edu/news/from-bits-to-biology-a-new-era-of-biological-renaissance-powered-by-ai/</link>
        <pubDate>Tue, 08 Oct 2024 13:00:59 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Community]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Code to Cure]]></category>
		<category><![CDATA[Computation]]></category>
		<category><![CDATA[Translational AI Catalyst]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=41126</guid>
                                                <content:encoded><![CDATA[<p>Code to Cure is a newsletter co&#x2d;hosted by the Wyss Institute at Harvard University and Milad Alucozai on the intersection of AI, biology, and healthcare transforming medicine. By Milad Alucozai Imagine a world where algorithms predict the next pandemic before it strikes, where you receive custom&#x2d;designed treatments tailored to your individual genetic makeup, lifestyle, and medical history&#8230;</p>
<p><a href="https://wyss.harvard.edu/news/from-bits-to-biology-a-new-era-of-biological-renaissance-powered-by-ai/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/news/from-bits-to-biology-a-new-era-of-biological-renaissance-powered-by-ai/</link>
          <title>Credit: Wyss Institute at Harvard University</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2024/10/04122411/OctoberC2CListingImage.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=d6c847b11f384af425bf622ccf3d176e"/></url>
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			<item>
				<title>Wyss Institute and Dr. Milad Alucozai Launch &#8220;Code to Cure&#8221; Newsletter</title>
				<link>https://wyss.harvard.edu/news/wyss-institute-and-dr-milad-alucozai-launch-code-to-cure-newsletter/</link>
        <pubDate>Tue, 17 Sep 2024 20:30:32 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Community]]></category>
		<category><![CDATA[Code to Cure]]></category>
		<category><![CDATA[Computation]]></category>
		<category><![CDATA[Predictive Bioanalytics]]></category>
		<category><![CDATA[Translational AI Catalyst]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=41000</guid>
                                                <content:encoded><![CDATA[<p>(BOSTON) &ndash; The Wyss Institute at Harvard University, along with Milad Alucozai, MSc, MPH, DrPH, is excited to announce the launch of the &ldquo;Code to Cure&rdquo; newsletter. Co&#x2d;hosted by Alucozai and the Wyss Institute, this series will explore the convergence of artificial intelligence (AI), biology, and healthcare, highlighting the technologies and innovations shaping the future of human and planetary&#8230;</p>
<p><a href="https://wyss.harvard.edu/news/wyss-institute-and-dr-milad-alucozai-launch-code-to-cure-newsletter/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/news/wyss-institute-and-dr-milad-alucozai-launch-code-to-cure-newsletter/</link>
          <title></title>
					<url>https://wyss-prod.imgix.net/app/uploads/2024/09/13090041/Code2CureFeatureImage.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=8b70eae4ef5f42273d73f93bb080267e"/></url>
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				<title>AminoX: Making Better Protein Drugs, Quicker and Cheaper</title>
				<link>https://wyss.harvard.edu/media-post/aminox-making-better-protein-drugs-quicker-and-cheaper/</link>
        <pubDate>Wed, 10 Jul 2024 13:56:00 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Donald E. Ingber]]></category>
		<category><![CDATA[George Church]]></category>
		<category><![CDATA[Harvard Medical School]]></category>
		<category><![CDATA[Immune System]]></category>
		<category><![CDATA[James J. Collins]]></category>
		<category><![CDATA[MIT]]></category>
		<category><![CDATA[Protein Engineering]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?post_type=media_post&#038;p=40393</guid>
                                                <content:encoded><![CDATA[<p>A synthetic biology and advanced chemistry platform that efficiently incorporates non&#x2d;standard amino acids by hacking the ubiquitous protein synthesis process. Credit: Wyss Institute at Harvard University&#8230;</p>
<p><a href="https://wyss.harvard.edu/media-post/aminox-making-better-protein-drugs-quicker-and-cheaper/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/media-post/aminox-making-better-protein-drugs-quicker-and-cheaper/</link>
          <title></title>
					<url>https://wyss-prod.imgix.net/app/uploads/2024/07/10095538/Video-Thumbnail-AminoX-No-Text.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=078f251c1c1fac372d6bba6ddf1b46d0"/></url>
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			<item>
				<title>AminoX: Making Better Protein Drugs, Quicker and Cheaper</title>
				<link>https://wyss.harvard.edu/technology/aminox-making-biologics-safer-with-synthetic-biology-and-advanced-chemistry/</link>
        <pubDate>Wed, 01 May 2024 15:40:43 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Donald E. Ingber]]></category>
		<category><![CDATA[George Church]]></category>
		<category><![CDATA[Harvard Medical School]]></category>
		<category><![CDATA[Immune System]]></category>
		<category><![CDATA[James J. Collins]]></category>
		<category><![CDATA[MIT]]></category>
		<category><![CDATA[Protein Engineering]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?post_type=technology&#038;p=37428</guid>
                                                <content:encoded><![CDATA[<p>Protein drugs often offer the most effective way to treat a variety of medical illnesses and conditions. However, many proteins in their naturally occurring forms make poor drugs &ndash; they can cause toxicities that force patients to discontinue treatment, and they often have such short half&#x2d;lives that patients would need to receive a constant infusion of them to see a therapeutic effect. Recently&#8230;</p>
<p><a href="https://wyss.harvard.edu/technology/aminox-making-biologics-safer-with-synthetic-biology-and-advanced-chemistry/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/technology/aminox-making-biologics-safer-with-synthetic-biology-and-advanced-chemistry/</link>
          <title>The AminoX team: Michaël Moret, Helena de Puig, and Erkin Kuru (from left to right). Credit: Wyss Institute at Harvard University</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2023/08/14125735/AminoX-Team-0689-Final.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=b5283f0df69f18c4ced22ab406752195"/></url>
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				<title>Using AI, researchers identify a new class of antibiotic candidates</title>
				<link>https://wyss.harvard.edu/news/using-ai-researchers-identify-a-new-class-of-antibiotic-candidates/</link>
        <pubDate>Wed, 20 Dec 2023 15:55:21 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Press Releases]]></category>
		<category><![CDATA[Antibiotic Resistance]]></category>
		<category><![CDATA[Antibiotics]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[James J. Collins]]></category>
		<category><![CDATA[MIT]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=38609</guid>
                            <description>These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections</description>
                                        <content:encoded><![CDATA[<p>By Anne Trafton, MIT News Office Using a type of artificial intelligence known as deep learning, researchers at the Wyss Institute and MIT have discovered a class of compounds that can kill a drug&#x2d;resistant bacterium that causes more than 10,000 deaths in the United States every year. In a study appearing today in Nature, the researchers showed that these compounds could kill methicillin&#8230;</p>
<p><a href="https://wyss.harvard.edu/news/using-ai-researchers-identify-a-new-class-of-antibiotic-candidates/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/news/using-ai-researchers-identify-a-new-class-of-antibiotic-candidates/</link>
          <title>The research team used AI to predict candidate antibiotic drugs, then zero in on those with the greatest promise to neutralize deadly bacteria. Credit: Christine Daniloff, MIT; Janice Haney Carr, CDC; iStock</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2023/12/18161137/MIT-Antibiotic-Predictions-0158.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=0b93fc0c83dd0bd66910d99ffe9ef28f"/></url>
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				<title>Coming together to engineer new treatments for serious diseases</title>
				<link>https://wyss.harvard.edu/news/coming-together-to-revolutionize-therapeutics/</link>
        <pubDate>Mon, 23 Oct 2023 17:14:48 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Community]]></category>
		<category><![CDATA[George Church]]></category>
		<category><![CDATA[Immune System]]></category>
		<category><![CDATA[James J. Collins]]></category>
		<category><![CDATA[Protein Engineering]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=37959</guid>
                            <description>Three researchers from different disciplines and faculty labs joined forces to develop AminoX, a technology that uses non-standard amino acids to improve protein therapies</description>
                                        <content:encoded><![CDATA[<p>By Jessica Leff Immunotherapy is often seen as the next frontier in cancer treatment, offering many benefits over traditional therapies like radiation and chemotherapy. Unfortunately, immunotherapy patients frequently experience painful side effects because antibodies affect healthy tissues along with the tumor. What if these drugs could more accurately target cancer cells&#8230;</p>
<p><a href="https://wyss.harvard.edu/news/coming-together-to-revolutionize-therapeutics/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.harvard.edu/news/coming-together-to-revolutionize-therapeutics/</link>
          <title>The AminoX team: Michaël Moret, Helena de Puig, and Erkin Kuru (from left to right). Credit: Wyss Institute at Harvard University</title>
					<url>https://wyss-prod.imgix.net/app/uploads/2023/08/14125735/AminoX-Team-0689-Final.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=b5283f0df69f18c4ced22ab406752195"/></url>
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