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	<title>predictive analytics in cancer care &#8211; BIOENGINEER.ORG</title>
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		<title>Moffitt Researchers Create Machine Learning Model to Forecast Urgent Care Visits in Lung Cancer Patients</title>
		<link>https://bioengineer.org/moffitt-researchers-create-machine-learning-model-to-forecast-urgent-care-visits-in-lung-cancer-patients/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 15 Sep 2025 19:25:06 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[lung cancer treatment monitoring]]></category>
		<category><![CDATA[Machine learning in oncology]]></category>
		<category><![CDATA[patient-reported outcomes integration]]></category>
		<category><![CDATA[predictive analytics in cancer care]]></category>
		<category><![CDATA[wearable health technology]]></category>
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					<description><![CDATA[In a groundbreaking advancement for personalized cancer care, researchers at the Moffitt Cancer Center have developed innovative machine learning models that combine patient-reported outcomes with data from wearable sensors to predict urgent care visits among patients undergoing systemic therapy for non–small cell lung cancer (NSCLC). This pioneering study, recently published in JCO Clinical Cancer Informatics, [&#8230;]]]></description>
		
		
		
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