Moffitt Cancer Center: Why we are building the first machine learning department in oncology

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Imagine a future where cancer patients are able to receive the treatment they precisely need and not the treatment that is prescribed to all.

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Issam El Naqa, PhD
Chair, Department of Machine Learning, Moffitt Cancer Center
Dana Rollison, PhD
Vice president, chief data officer, associate center director of data science, Division chief, quantitative science, Moffitt Cancer Center
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The rapid adoption of glucagon-like peptide-1 receptor agonists (GLP-1RAs), particularly for weight management, represents one of the most significant shifts in metabolic medicine in decades. With millions of people now using medications such as semaglutide and tirzepatide, we are witnessing a fundamental alteration in patient physiology that extends far beyond glucose control and weight loss. As these drugs approach 10% population penetrance in some demographics, the oncology community faces an urgent question: How will this metabolic transformation reshape cancer care?
Issam El Naqa, PhD
Chair, Department of Machine Learning, Moffitt Cancer Center
Dana Rollison, PhD
Vice president, chief data officer, associate center director of data science, Division chief, quantitative science, Moffitt Cancer Center

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