<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>OhioT1DM &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/ohiot1dm/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Sat, 17 Oct 2026 08:56:38 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>OhioT1DM &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>Smartphone AI spots early diabetes risk by reading movement and glucose together</title>
		<link>https://bioengineer.org/smartphone-ai-spots-early-diabetes-risk-by-reading-movement-and-glucose-together/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 08:56:38 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Continuous Glucose Monitoring]]></category>
		<category><![CDATA[Digital Health]]></category>
		<category><![CDATA[GATv2]]></category>
		<category><![CDATA[GlucoSense]]></category>
		<category><![CDATA[graph attention networks]]></category>
		<category><![CDATA[HbA1c]]></category>
		<category><![CDATA[human activity recognition]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[OhioT1DM]]></category>
		<category><![CDATA[prediabetes screening]]></category>
		<category><![CDATA[smartphone sensors]]></category>
		<category><![CDATA[Type 2 diabetes]]></category>
		<guid isPermaLink="false">https://bioengineer.org/?p=425312</guid>

					<description><![CDATA[A new graph neural network framework called GlucoSense combines smartphone activity recognition with glucose forecasting to identify early type 2 diabetes risk, matching HbA1c lab results for all six study participants.]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">425312</post-id>	</item>
	</channel>
</rss>
