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	<title>Stanford Medicine Archives - HIT Leaders and News</title>
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		<title>The Average Patient Is No Longer Good Enough</title>
		<link>https://us.hitleaders.news/academic-research/50036/the-average-patient-is-no-longer-good-enough/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-average-patient-is-no-longer-good-enough</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 04 May 2026 11:04:41 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[behavioral health]]></category>
		<category><![CDATA[Stanford Medicine]]></category>
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					<description><![CDATA[<p>A new brain science finding from Stanford Medicine carries a warning for healthcare technology leaders far beyond neuroscience. The study found that analyzing children’s brain activity through group averages can obscure, and in some cases misrepresent, how individual brains regulate behavior.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/50036/the-average-patient-is-no-longer-good-enough/">The Average Patient Is No Longer Good Enough</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>AI Sleep Modeling Raises the Bar for Predictive Diagnostics</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/49928/ai-sleep-modeling-raises-the-bar-for-predictive-diagnostics/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-sleep-modeling-raises-the-bar-for-predictive-diagnostics</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 06 Jan 2026 11:20:52 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[polysomnography]]></category>
		<category><![CDATA[Predictive Diagnostics]]></category>
		<category><![CDATA[SleepFM]]></category>
		<category><![CDATA[Stanford Medicine]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49928</guid>

					<description><![CDATA[<p>A new artificial intelligence model developed at Stanford Medicine claims the ability to forecast risk for more than 100 diseases based on a single night of sleep data. Dubbed SleepFM, the model represents a significant leap in predictive analytics, fusing multi-modal physiological signals with longitudinal health records to detect subtle precursors of disease.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/49928/ai-sleep-modeling-raises-the-bar-for-predictive-diagnostics/">AI Sleep Modeling Raises the Bar for Predictive Diagnostics</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>Stanford’s CRISPR-GPT Signals a Paradigm Shift in Genomic Experimentation</title>
		<link>https://us.hitleaders.news/academic-research/49727/stanfords-crispr-gpt-signals-a-paradigm-shift-in-genomic-experimentation/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=stanfords-crispr-gpt-signals-a-paradigm-shift-in-genomic-experimentation</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 23 Sep 2025 11:35:57 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[Agent4Genomics]]></category>
		<category><![CDATA[CRISPR-GPT]]></category>
		<category><![CDATA[Genomic Experimentation]]></category>
		<category><![CDATA[large language model]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[Stanford Medicine]]></category>
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					<description><![CDATA[<p>The launch of CRISPR-GPT, a generative AI platform developed by Stanford Medicine, signals a consequential step toward making gene-editing not only faster but also more accessible. In a field historically bound by complexity, trial-and-error, and steep learning curves, this tool reframes CRISPR as a collaborative endeavor, augmented by artificial intelligence and accessible to non-specialists.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/49727/stanfords-crispr-gpt-signals-a-paradigm-shift-in-genomic-experimentation/">Stanford’s CRISPR-GPT Signals a Paradigm Shift in Genomic Experimentation</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>Inner Speech BCIs Are Reframing the Future of Communication</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/49557/inner-speech-bcis-are-reframing-the-future-of-communication/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=inner-speech-bcis-are-reframing-the-future-of-communication</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 20 Aug 2025 10:49:06 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[BCI]]></category>
		<category><![CDATA[Brain-Computer Interface]]></category>
		<category><![CDATA[Stanford Medicine]]></category>
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					<description><![CDATA[<p>Emerging research from Stanford Medicine marks a significant inflection point in brain-computer interface (BCI) development. Rather than simply decoding attempted movements or vocalizations, scientists have demonstrated the ability to capture and interpret inner speech, the silent, imagined articulation of words that occurs within the mind.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/49557/inner-speech-bcis-are-reframing-the-future-of-communication/">Inner Speech BCIs Are Reframing the Future of Communication</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>‘Smart Speaker’ Shows Potential for Better Self-Management of Type 2 Diabetes</title>
		<link>https://us.hitleaders.news/academic-research/42119/smart-speaker-shows-potential-for-better-self-management-of-type-2-diabetes/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=smart-speaker-shows-potential-for-better-self-management-of-type-2-diabetes</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 25 Jan 2024 13:20:53 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[remote patient monitoring devices]]></category>
		<category><![CDATA[Stanford Medicine]]></category>
		<category><![CDATA[type 2 diabetes]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=42119</guid>

					<description><![CDATA[<p>Type 2 diabetes patients have access to an assortment of digital health tools, including mobile apps for iPhones and remote patient monitoring devices, all of which help them manage their blood glycemic levels. They can test at home, usually with a glucometer, then communicate that data to their care team via an app or web portal, by calling on the phone, or by waiting for an appointment. </p>
<p>The post <a href="https://us.hitleaders.news/academic-research/42119/smart-speaker-shows-potential-for-better-self-management-of-type-2-diabetes/">‘Smart Speaker’ Shows Potential for Better Self-Management of Type 2 Diabetes</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>Stanford Medicine Named Winner of the 2023 Hearst Health Prize in Partnership with the UCLA Center for SMART Health</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/40496/stanford-medicine-named-winner-of-the-2023-hearst-health-prize-in-partnership-with-the-ucla-center-for-smart-health/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=stanford-medicine-named-winner-of-the-2023-hearst-health-prize-in-partnership-with-the-ucla-center-for-smart-health</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 17 May 2023 13:22:29 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[2023 Hearst Health Prize]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Stanford Medicine]]></category>
		<category><![CDATA[UCLA Center for SMART Health]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=40496</guid>

					<description><![CDATA[<p>The UCLA Center for SMART Health, an interdisciplinary collaborative that looks to the integrated transformation of healthcare through emergent data and technologies, and Hearst Health, a division of Hearst and leader in care guidance, announced Thursday that Stanford Medicine is the winner of the 2023 Hearst Health Prize. Stanford won the award for its artificial intelligence (AI) solution that helps identify patients at risk for heart attack.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/40496/stanford-medicine-named-winner-of-the-2023-hearst-health-prize-in-partnership-with-the-ucla-center-for-smart-health/">Stanford Medicine Named Winner of the 2023 Hearst Health Prize in Partnership with the UCLA Center for SMART Health</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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