Data-driven mechanistic modeling for personalized oncology

Mathematical Biology Seminar
Wednesday, November 17, 2021 - 11:00am for 1 hour (actually 50 minutes)
Heiko Enderling – Moffitt Cancer Center –
Daniel Cruz

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In close collaboration with experimentalists and clinicians, mathematical models that are parameterized with experimental and clinical data can help estimate patient-specific disease dynamics and treatment success. This positions us at the forefront of the advent of ‘virtual trials’ that predict personalized optimized treatment protocols. I will discuss a couple of different projects to demonstrate how to integrate calculus into clinical decision making. I will present a variety of mathematical model that can be calibrated from early treatment response dynamics to forecast responses to subsequent treatment. This may help us to identify patient candidates for treatment escalation when needed, and treatment de-escalation without jeopardizing outcomes.

Recording link: