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	<title>UVA Health Archives - HIT Leaders and News</title>
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	<description>Healthcare Innovations and technology news and views</description>
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		<title>Drug Discovery AI Needs Better Biology</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/50018/drug-discovery-ai-needs-better-biology/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=drug-discovery-ai-needs-better-biology</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 20 Apr 2026 12:13:58 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=50018</guid>

					<description><![CDATA[<p>The latest drug-discovery AI announcement from the University of Virginia School of Medicine deserves attention, but not for the usual reason. The easy storyline is speed. The more important storyline is realism.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/50018/drug-discovery-ai-needs-better-biology/">Drug Discovery AI Needs Better Biology</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>UVA Health: Testing if MRI Can Reveal Undetected Brain Injuries in Soldiers</title>
		<link>https://us.hitleaders.news/academic-research/49662/uva-to-test-if-mri-can-reveal-undetected-brain-injuries-in-soldiers/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=uva-to-test-if-mri-can-reveal-undetected-brain-injuries-in-soldiers</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 08 Sep 2025 12:22:44 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[imaging]]></category>
		<category><![CDATA[MRI]]></category>
		<category><![CDATA[UVA Health]]></category>
		<category><![CDATA[UVA School of Medicine]]></category>
		<category><![CDATA[veterans]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49662</guid>

					<description><![CDATA[<p>Hidden injuries have always been one of the most insidious threats in military medicine. From early battlefield concussion to long-term neurological impairment, brain trauma often escapes early detection, particularly in soldiers exposed to repeated low-level blasts.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/49662/uva-to-test-if-mri-can-reveal-undetected-brain-injuries-in-soldiers/">UVA Health: Testing if MRI Can Reveal Undetected Brain Injuries in Soldiers</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<item>
		<title>UVAHealth: Will AI-Driven Mental Health Support Close or Widen the Care Gap in Oncology?</title>
		<link>https://us.hitleaders.news/academic-research/49604/uvahealth-will-ai-driven-mental-health-support-close-or-widen-the-care-gap-in-oncology/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=uvahealth-will-ai-driven-mental-health-support-close-or-widen-the-care-gap-in-oncology</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 28 Aug 2025 10:54:03 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Oncology]]></category>
		<category><![CDATA[UVA Cancer Center]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49604</guid>

					<description><![CDATA[<p>The promise of artificial intelligence in mental health care is rapidly transitioning from experimental to operational. For breast cancer patients in particular, AI-based interventions could radically reshape how psychological distress is detected, triaged, and managed across settings. But the core question remains unresolved: Will these systems meaningfully extend care, or create a new layer of digital inequity?</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/49604/uvahealth-will-ai-driven-mental-health-support-close-or-widen-the-care-gap-in-oncology/">UVAHealth: Will AI-Driven Mental Health Support Close or Widen the Care Gap in Oncology?</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>UVA Health: The Automation Imperative in Diabetes Technology</title>
		<link>https://us.hitleaders.news/academic-research/49601/uva-health-the-automation-imperative-in-diabetes-technology/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=uva-health-the-automation-imperative-in-diabetes-technology</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 26 Aug 2025 10:44:59 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Diabetes Technology & Therapeutics]]></category>
		<category><![CDATA[Journal of Diabetes Science and Technology]]></category>
		<category><![CDATA[University of Virginia Center for Diabetes Technology]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49601</guid>

					<description><![CDATA[<p>Efforts to fully automate insulin delivery for type 1 diabetes are entering a critical inflection point. For nearly a decade, the artificial pancreas has promised to transform care for millions of people managing the condition. But even with notable advancements in hybrid closed-loop systems, a fundamental barrier remains: user burden.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/49601/uva-health-the-automation-imperative-in-diabetes-technology/">UVA Health: The Automation Imperative in Diabetes Technology</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>UVA Health University Medical Center Expands MRI Suite</title>
		<link>https://us.hitleaders.news/imaging/48484/uva-health-university-medical-center-expands-mri-suite/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=uva-health-university-medical-center-expands-mri-suite</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 21 May 2025 15:14:24 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[MRI]]></category>
		<category><![CDATA[UVA Health]]></category>
		<category><![CDATA[UVA Health University Medical Center]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=48484</guid>

					<description><![CDATA[<p>To improve the patient experience and access to care, UVA Health University Medical Center has opened an expanded magnetic resonance imaging (MRI) suite that will better accommodate the thousands of patients receiving these scans annually. MRIs are a non-invasive imaging technique used to detect and diagnose health conditions throughout the body, as well as to monitor the progress of certain treatments.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/48484/uva-health-university-medical-center-expands-mri-suite/">UVA Health University Medical Center Expands MRI Suite</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<item>
		<title>An App to Detect Heart Attacks and Strokes</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/48431/an-app-to-detect-heart-attacks-and-strokes/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=an-app-to-detect-heart-attacks-and-strokes</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 20 May 2025 11:19:07 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[ECHAS app]]></category>
		<category><![CDATA[Emergency Call for Heart Attack and Stroke]]></category>
		<category><![CDATA[Heart Attacks]]></category>
		<category><![CDATA[Strokes]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=48431</guid>

					<description><![CDATA[<p>“Heart attack and stroke are two leading causes of death in Virginia and the U.S. Our study found that the ECHAS app could accurately identify patients with heart attack, stroke and other emergency brain or heart problems who needed evaluation in the emergency room or admission to the hospital,” said UVA Health neurologist Jonathan R. Crowe, MD, MPH, one of the study’s authors. “We hope ECHAS could help save lives by reducing delay and helping patients get the heart attack and stroke care they need.”</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/48431/an-app-to-detect-heart-attacks-and-strokes/">An App to Detect Heart Attacks and Strokes</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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			</item>
		<item>
		<title>New Genomics Tool Accelerates Biomedical Breakthroughs</title>
		<link>https://us.hitleaders.news/academic-research/47646/new-genomics-tool-accelerates-biomedical-breakthroughs/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=new-genomics-tool-accelerates-biomedical-breakthroughs</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 03 Apr 2025 12:04:54 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[Genomics]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=47646</guid>

					<description><![CDATA[<p>Genomics is a complex field that involves analyzing vast amounts of data. This work is complicated by the number of researchers involved and the varying ways they have named “reference sequences” over the years. Reference sequences are essential tools in genomic research, often representing genetic information compiled from multiple individuals. Researchers rely on these sequences to identify gene variations driving genetic diseases and to understand how diseased cells behave differently than normal cells.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/47646/new-genomics-tool-accelerates-biomedical-breakthroughs/">New Genomics Tool Accelerates Biomedical Breakthroughs</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Artificial Intelligence Tool to Accelerate New Treatments</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/47552/artificial-intelligence-tool-to-accelerate-new-treatments/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=artificial-intelligence-tool-to-accelerate-new-treatments</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 25 Mar 2025 11:15:41 +0000</pubDate>
				<category><![CDATA[AI/Machine Learning]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[LogiRx]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=47552</guid>

					<description><![CDATA[<p>The new AI tool called LogiRx, can predict how drugs will affect biological processes in the body, helping scientists understand the effects the drugs will have other than their original purpose. For example, the researchers found that the antidepressant escitalopram, sold as Lexapro, may prevent harmful changes in the heart that lead to heart failure, a condition that causes almost half of all cardiovascular deaths in the United States.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/47552/artificial-intelligence-tool-to-accelerate-new-treatments/">Artificial Intelligence Tool to Accelerate New Treatments</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>UVA Health Develops Simple Scan to heartID Patients at Heart Risk</title>
		<link>https://us.hitleaders.news/academic-research/46836/uva-develops-simple-scan-to-heartid-patients-at-heart-risk/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=uva-develops-simple-scan-to-heartid-patients-at-heart-risk</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 27 Jan 2025 14:49:36 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[heart]]></category>
		<category><![CDATA[imaging]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=46836</guid>

					<description><![CDATA[<p>Everyone knows the health risks of carrying too much fat around the waist and hips, but UVA Health scientists have developed a noninvasive way to assess the health risks of unseen fat around the heart.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/46836/uva-develops-simple-scan-to-heartid-patients-at-heart-risk/">UVA Health Develops Simple Scan to heartID Patients at Heart Risk</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Cause, Potential Treatment ID’d for Persistent COVID-19 Lung Problems</title>
		<link>https://us.hitleaders.news/academic-research/46139/cause-potential-treatment-idd-for-persistent-covid-19-lung-problems/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=cause-potential-treatment-idd-for-persistent-covid-19-lung-problems</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 09 Sep 2024 10:53:20 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[Cedars-Sinai]]></category>
		<category><![CDATA[COVID-19]]></category>
		<category><![CDATA[Lung Problems]]></category>
		<category><![CDATA[UVA Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=46139</guid>

					<description><![CDATA[<p>Arthritis drugs already available for prescription have the potential to halt lingering lung problems that can last months or years after COVID-19 infections, new research from the School of Medicine and Cedars-Sinai suggests.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/46139/cause-potential-treatment-idd-for-persistent-covid-19-lung-problems/">Cause, Potential Treatment ID’d for Persistent COVID-19 Lung Problems</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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