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		<title>Wyss InstituteComputer Science &#8211; Wyss Institute</title>
		<link>https://wyss.stage.a17.io</link>
		<description>Wyss Institute at Harvard</description>
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				<title>From Data to Drugs: The Role of Artificial Intelligence in Drug Discovery</title>
				<link>https://wyss.stage.a17.io/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>
				<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.stage.a17.io/news/from-data-to-drugs-the-role-of-artificial-intelligence-in-drug-discovery/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/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-stage.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=269de44f3a4bdc9b420dff7d6aad3d0b"/></url>
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				<title>From Bits to Biology: A New Era of Biological Renaissance powered by AI</title>
				<link>https://wyss.stage.a17.io/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>
				<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.stage.a17.io/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.stage.a17.io/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-stage.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=814404767506edc0e3a195858b97e0cd"/></url>
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			<item>
				<title>Wyss Institute and Dr. Milad Alucozai Launch &#8220;Code to Cure&#8221; Newsletter</title>
				<link>https://wyss.stage.a17.io/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>
				<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.stage.a17.io/news/wyss-institute-and-dr-milad-alucozai-launch-code-to-cure-newsletter/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/news/wyss-institute-and-dr-milad-alucozai-launch-code-to-cure-newsletter/</link>
          <title></title>
					<url>https://wyss-stage.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=04ed6fdf906aa637b33a7293cf30a0fe"/></url>
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				<title>AminoX: Making Better Protein Drugs, Quicker and Cheaper</title>
				<link>https://wyss.stage.a17.io/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.stage.a17.io/media-post/aminox-making-better-protein-drugs-quicker-and-cheaper/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/media-post/aminox-making-better-protein-drugs-quicker-and-cheaper/</link>
          <title></title>
					<url>https://wyss-stage.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=c4bd9cd62f212831fb0068e8a9918029"/></url>
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			<item>
				<title>AminoX: Making Better Protein Drugs, Quicker and Cheaper</title>
				<link>https://wyss.stage.a17.io/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.stage.a17.io/technology/aminox-making-biologics-safer-with-synthetic-biology-and-advanced-chemistry/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/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-stage.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=2d132dfab4de58e64b9f50ec81868a55"/></url>
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			<item>
				<title>Using AI, researchers identify a new class of antibiotic candidates</title>
				<link>https://wyss.stage.a17.io/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.stage.a17.io/news/using-ai-researchers-identify-a-new-class-of-antibiotic-candidates/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/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-stage.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=234ca0e0c8327325bd8189b818f44e24"/></url>
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				<title>Coming together to engineer new treatments for serious diseases</title>
				<link>https://wyss.stage.a17.io/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.stage.a17.io/news/coming-together-to-revolutionize-therapeutics/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/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-stage.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=2d132dfab4de58e64b9f50ec81868a55"/></url>
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				<title>Now, every biologist can use machine learning</title>
				<link>https://wyss.stage.a17.io/news/now-every-biologist-can-use-machine-learning/</link>
        <pubDate>Wed, 21 Jun 2023 15:57:35 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Press Releases]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[James Collins]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[MIT]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=36644</guid>
                            <description>New automated machine learning platform enables easy, all-in-one analysis, design, and interpretation of biological sequences with minimal coding</description>
                                        <content:encoded><![CDATA[<p>By Lindsay Brownell (BOSTON) &mdash; The amount of data generated by scientists today is massive, thanks to the falling costs of sequencing technology and the increasing amount of available computing power. But parsing through all that data to uncover useful information is like searching for a molecular needle in a haystack. Machine learning (ML) and other artificial intelligence (AI) tools can&#8230;</p>
<p><a href="https://wyss.stage.a17.io/news/now-every-biologist-can-use-machine-learning/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/news/now-every-biologist-can-use-machine-learning/</link>
          <title>Many biologists could benefit from using machine learning tools to analyze their data and inform their experiments, but few of them have the training required to design and use those tools. BioAutoMATED helps give non-ML experts easily analyze biological sequences without extensive coding. Credit: Shutterstock</title>
					<url>https://wyss-stage.imgix.net/app/uploads/2023/04/25142458/Artificial-intelligence-and-deep-learning-technology_shutterstock_687590023.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=1ad2e07bc6a52017551a8e9809192ba0"/></url>
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				<title>Not all statins are created equal</title>
				<link>https://wyss.stage.a17.io/news/not-all-statins-are-created-equal/</link>
        <pubDate>Tue, 09 May 2023 14:58:02 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Press Releases]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[COVID-19]]></category>
		<category><![CDATA[Donald E. Ingber]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=36727</guid>
                            <description>Computational tools, medical record analysis, and in vitro experiments reveal that statin drugs differ in their ability to increase survival of COVID-19 patients </description>
                                        <content:encoded><![CDATA[<p>By Lindsay Brownell (BOSTON) &mdash; We&rsquo;ve all recently gotten a crash&#x2d;course in drug repurposing, thanks to near&#x2d;daily news reports about efforts to identify existing medicines that could help treat COVID&#x2d;19 in the early phase of the pandemic. A team of scientists at the Wyss Institute at Harvard University jumped into the fray in the spring of 2020, applying novel computational drug repurposing&#8230;</p>
<p><a href="https://wyss.stage.a17.io/news/not-all-statins-are-created-equal/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/news/not-all-statins-are-created-equal/</link>
          <title>Statins are drugs that are commonly prescribed to lower cholesterol, but a new Wyss study reveals that different statin drugs exert different effects on patients. Credit: Shutterstock</title>
					<url>https://wyss-stage.imgix.net/app/uploads/2023/05/08125406/A-generic-pack-of-the-controversial-cholesterol-preventative-drug-Statin-shutterstock_199332014.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=fa0ff56b2f676de1ec5766138ddc8851"/></url>
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				<title>Giving old drugs new life&#8230;to save lives</title>
				<link>https://wyss.stage.a17.io/news/giving-old-drugs-new-life-to-save-lives/</link>
        <pubDate>Thu, 24 Feb 2022 15:00:32 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Research Spotlights]]></category>
		<category><![CDATA[COVID-19]]></category>
		<category><![CDATA[David J. Mooney]]></category>
		<category><![CDATA[Donald E. Ingber]]></category>
		<category><![CDATA[Hydrogel]]></category>
		<category><![CDATA[Infectious Disease]]></category>
		<category><![CDATA[Lung-on-a-chip]]></category>
		<category><![CDATA[Nanoparticles]]></category>
		<category><![CDATA[Predictive Bioanalytics]]></category>
		<category><![CDATA[Samir Mitragotri]]></category>
		<category><![CDATA[Tissue Regeneration]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=31525</guid>
                            <description>Repurposing existing drugs by finding new targets, delivery methods, and formulations is a promising approach to speed the development of much-needed treatments</description>
                                        <content:encoded><![CDATA[<p>By Lindsay Brownell (BOSTON) &ndash; Along with &ldquo;SARS&#x2d;CoV&#x2d;2&rdquo; and &ldquo;cytokine storm,&rdquo; the COVID&#x2d;19 pandemic has added an alphabet soup of strange drug names to the public lexicon: hydroxychloroquine, tocilizumab, ivermectin, atovaquone. Though many of us were hearing those names (and struggling to spell them) for the first time, all of these drugs have been around for decades. It was our global&#8230;</p>
<p><a href="https://wyss.stage.a17.io/news/giving-old-drugs-new-life-to-save-lives/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
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          <link>https://wyss.stage.a17.io/news/giving-old-drugs-new-life-to-save-lives/</link>
          <title>Teams of scientists across the Wyss Institute are investigating promising existing drugs that could be repurposed to treat a variety of diseases, speeding up the pace of clinical development. Credit: Wyss Institute at Harvard University</title>
					<url>https://wyss-stage.imgix.net/app/uploads/2022/02/01125633/Organ-Chip-Team_Haiqing-Bai-microscope.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=c899b86d151276de20c58d7e01b33551"/></url>
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