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		<title>Wyss InstituteBioinformatics &#8211; Wyss Institute</title>
		<link>https://wyss.stage.a17.io</link>
		<description>Wyss Institute at Harvard</description>
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			<item>
				<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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			<item>
				<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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			<item>
				<title>Reimagining treatment for neurological diseases: Ayush Noori</title>
				<link>https://wyss.stage.a17.io/news/reimagining-treatment-for-neurological-diseases-ayush-noori/</link>
        <pubDate>Tue, 11 Jun 2024 15:09:44 +0000</pubDate>
        <dc:creator><![CDATA[Jessica Leff]]></dc:creator>
        		<category><![CDATA[Community]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Reimagine the World]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=40015</guid>
                            <description>Caring for his grandmother as her health deteriorated after being diagnosed with a rare neurodegenerative disease inspired Wyss researcher Ayush Noori to commit to finding better treatments </description>
                                        <content:encoded><![CDATA[<p>By Jessica Leff Listen to Ayush tell his story | Wyss Institute &middot; Ayush Noori Reimagine The World Ayush Noori grew up amidst a large extended family divided by geography &ndash; spread across California, Washington, and India &ndash; but united by shared core values of integrity, dedication, and resilience. At the center of this family was his grandmother, Munira Brooks, or as Ayush lovingly called&#8230;</p>
<p><a href="https://wyss.stage.a17.io/news/reimagining-treatment-for-neurological-diseases-ayush-noori/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/news/reimagining-treatment-for-neurological-diseases-ayush-noori/</link>
          <title>Ayush Noori would Reimagine the World with personalized medicine for every patient, so they each live a fulfilling life surrounded by their loved ones. He is inspired by his experiences caring for his grandmother, Munira Brooks. Credit: Wyss Institute at Harvard Univesrity</title>
					<url>https://wyss-stage.imgix.net/app/uploads/2024/05/20132907/Reimagine-the-World-Ayush-Noori-03969.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=241c9069ba681c32a345293880aa0e57"/></url>
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			<item>
				<title>The Wyss Brain Targeting Program is expanding its “neural network”</title>
				<link>https://wyss.stage.a17.io/news/the-wyss-brain-targeting-program-is-expanding-its-neural-network/</link>
        <pubDate>Wed, 24 Jan 2024 22:02:14 +0000</pubDate>
        <dc:creator><![CDATA[Mariel Schoen]]></dc:creator>
        		<category><![CDATA[Research Spotlights]]></category>
		<category><![CDATA[Brain]]></category>
		<category><![CDATA[Brain Disease]]></category>
		<category><![CDATA[Drug Delivery]]></category>
		<category><![CDATA[Neurology]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?p=38872</guid>
                            <description>New partnerships are helping to accelerate the development of shuttles to deliver drugs efficiently to their brain targets</description>
                                        <content:encoded><![CDATA[<p>The Wyss Brain Targeting Program is discovering and developing new brain transport shuttles that are safe and effective, along with specially engineered mice in which drugs fused to the brain shuttles can be tested. These brain shuttles and mouse models are now available for non&#x2d;exclusive licensing. The Wyss Brain Targeting Program was created as an R&amp;D hub to promote collaboration among&#8230;</p>
<p><a href="https://wyss.stage.a17.io/news/the-wyss-brain-targeting-program-is-expanding-its-neural-network/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/news/the-wyss-brain-targeting-program-is-expanding-its-neural-network/</link>
          <title></title>
					<url>https://wyss-stage.imgix.net/app/uploads/2024/01/23105943/doctors-in-neurological-clinic-discussing-mri-scan-2021-09-04-02-22-09-utc-1.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=7bced554dcf2dfc5b68e91dcf85e5688"/></url>
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        			</item>

		
			<item>
				<title>Brigham-Wyss DxA</title>
				<link>https://wyss.stage.a17.io/collaboration/brigham-wyss-dxa/</link>
        <pubDate>Tue, 31 Oct 2023 18:01:32 +0000</pubDate>
        <dc:creator><![CDATA[Mariel Schoen]]></dc:creator>
        		<category><![CDATA[Biomedical Engineering]]></category>
		<category><![CDATA[Brigham and Women's Hospital]]></category>
		<category><![CDATA[Collaborations]]></category>
		<category><![CDATA[David R. Walt]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?post_type=collaboration&#038;p=38214</guid>
                            <description>We are targeting the greatest needs to drive the greatest positive impact on patients' lives, delivering the bench to the bedside.</description>
                                        <content:encoded><![CDATA[<p>The Wyss DxA&rsquo;s clinical partners from Brigham and Women&rsquo;s Hospital identify the most pressing unmet diagnostic needs, provide access to high&#x2d;quality patient samples for our Biomarker Discovery Laboratory (BDL) and Brigham&#x2d;Wyss DxA collaborators, and provide invaluable feedback and guidance on the engineering and validation of cost&#x2d;effective, sensitive, and specific diagnostic tests.</p>
<p><a href="https://wyss.stage.a17.io/collaboration/brigham-wyss-dxa/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/collaboration/brigham-wyss-dxa/</link>
          <title></title>
					<url>https://wyss-stage.imgix.net/app/uploads/2023/10/31132511/Wyss-Brigham-DxA-cover.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=f852fffce5ea5c3ffa8aa2b13e416cc6"/></url>
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			<item>
				<title>Biomarker Discovery Laboratory (BDL)</title>
				<link>https://wyss.stage.a17.io/collaboration/biomarker-discovery-laboratory/</link>
        <pubDate>Tue, 31 Oct 2023 17:49:45 +0000</pubDate>
        <dc:creator><![CDATA[Mariel Schoen]]></dc:creator>
        		<category><![CDATA[Brigham and Women's Hospital]]></category>
		<category><![CDATA[Collaborations]]></category>
		<category><![CDATA[David R. Walt]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?post_type=collaboration&#038;p=38208</guid>
                            <description>Unlocking the molecular keys through biomarker discovery</description>
                                        <content:encoded><![CDATA[<p>Central to the Wyss DxA&rsquo;s diagnostic assay development process, and one of its organizational branches, is its Biomarker Discovery Laboratory (BDL). The development of new diagnostic tests critically hinges on the identification, quality, and accessibility of new biomarkers that unambiguously identify a disease or disorder, and upon which diagnostic assays can be built.</p>
<p><a href="https://wyss.stage.a17.io/collaboration/biomarker-discovery-laboratory/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/collaboration/biomarker-discovery-laboratory/</link>
          <title></title>
					<url>https://wyss-stage.imgix.net/app/uploads/2023/10/31132507/bacteria-g9070d7ae5_1280-1024x576.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=9d9f9d602f3002c39d08a41b7892f816"/></url>
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			<item>
				<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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			<item>
				<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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			<item>
				<title>Wearable Technology for True Movement Quantification</title>
				<link>https://wyss.stage.a17.io/technology/wurq/</link>
        <pubDate>Wed, 19 Apr 2023 20:47:43 +0000</pubDate>
        <dc:creator><![CDATA[admin]]></dc:creator>
        		<category><![CDATA[Assistive Devices]]></category>
		<category><![CDATA[Athletic]]></category>
		<category><![CDATA[Bioinspired Soft Robotics]]></category>
		<category><![CDATA[Biomechanics]]></category>
		<category><![CDATA[Biosensors]]></category>
		<category><![CDATA[Conor Walsh]]></category>
		<category><![CDATA[Harvard SEAS]]></category>
				<guid isPermaLink="false">https://wyss.harvard.edu/?post_type=technology&#038;p=23612</guid>
                            <description>Wyss startup <a href="https://www.wurq.io/" target="_blank">WurQ</a> launched in 2023 to bring AI and exercise science to existing wearables to quantify physical work, and assess the amount, quality, and intensity. </description>
                                        <content:encoded><![CDATA[<p>Athletes undergoing daily training and patients undergoing physical therapy, often do not have a way to quantitatively assess their progress or obtain actionable insights that help to enhance performance or avoid injuries. There are vast options for wearable devices and activity monitors, however, those are generally limited to tracking cardiovascular activities and heart&#x2d;related data.</p>
<p><a href="https://wyss.stage.a17.io/technology/wurq/" rel="nofollow">Source</a></p>]]></content:encoded>
                                    
				<image>
          <link>https://wyss.stage.a17.io/technology/wurq/</link>
          <title>Credit: WurQ</title>
					<url>https://wyss-stage.imgix.net/app/uploads/2020/02/19182355/WurQ-System-on-Athelete-01519_Final.jpg?auto=format%2Ccompress&#038;crop=faces%2Centropy&#038;fit=crop&#038;h=400&#038;q=50&#038;w=300&#038;s=b6319d38935d7fcd43519c8b6b4a4977"/></url>
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