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		<title>Peek Behind the Poster</title>
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		<itunes:summary><![CDATA[Peek Behind the Poster - Aaron Cohen, ISPOR 2024<hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>]]></itunes:summary>
		<description><![CDATA[Peek Behind the Poster - Aaron Cohen, ISPOR 2024<hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>]]></description>
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			<title>Podcast - Aaron Cohen, ISPOR 2024</title>
			<itunes:title>Podcast - Aaron Cohen, ISPOR 2024</itunes:title>
			<pubDate>Mon, 03 Jun 2024 11:59:09 GMT</pubDate>
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			<itunes:subtitle>Laura Dormer, Editor, The Evidence Base, speaks with Aaron Cohen, Senior Medical Director, Machine Learning, Flatiron Health about the ISPOR 2024 poster ‘Using large language models to extract PD-L1 testing details from electronic health records’.</itunes:subtitle>
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			<description><![CDATA[In this Podcast, Laura Dormer (Editor, The Evidence Base) speaks with Aaron Cohen (Senior Medical Director, Machine Learning, Flatiron Health) about the potential of large language models (LLMs) to extract details from electronic health records (EHRs) for cancer research. They also delve into the poster ‘<a href="https://www.ispor.org/heor-resources/presentations-database/presentation/intl2024-3898/136019" rel="noopener noreferrer" target="_blank">Using large language models to extract PD-L1 testing details from electronic health records</a>’ presented at ISPOR 2024 (May 6–8, 2024; Atlanta, GA, USA)&nbsp;.<hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>]]></description>
			<itunes:summary><![CDATA[In this Podcast, Laura Dormer (Editor, The Evidence Base) speaks with Aaron Cohen (Senior Medical Director, Machine Learning, Flatiron Health) about the potential of large language models (LLMs) to extract details from electronic health records (EHRs) for cancer research. They also delve into the poster ‘<a href="https://www.ispor.org/heor-resources/presentations-database/presentation/intl2024-3898/136019" rel="noopener noreferrer" target="_blank">Using large language models to extract PD-L1 testing details from electronic health records</a>’ presented at ISPOR 2024 (May 6–8, 2024; Atlanta, GA, USA)&nbsp;.<hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>]]></itunes:summary>
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		<itunes:category text="Health &amp; Fitness">
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