Mathematical and Computational Frameworks for Adaptively Benchmarking Patients in States of Health, Disease, and Recovery
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“Mathematical and Computational Frameworks for Adaptively Benchmarking Patients in States of Health, Disease, and Recovery”
Dr. Brody Foy is a research fellow in Systems Biology at Harvard Medical School and Massachusetts General Hospital. He earned a BMath at Queensland University of Technology, and DPhil in Computer Science from the University of Oxford, as a Rhodes Scholar. Dr Foy uses mathematical and computational approaches to quantify blood cell dynamics in acute and chronic disease settings. He is particularly interested in how we can better utilize routine clinical laboratory testing to generate physiologic and clinical insights. In the winter he will be starting a lab at the University of Washington, Department of Laboratory Medicine & Pathology, as an acting Assistant Professor.
▶RECORDING [available here after event]
Abstract
“Mathematical and Computational Frameworks for Adaptively Benchmarking Patients in States of Health, Disease, and Recovery”
Laboratory testing is a cornerstone of modern medicine. While cutting-edge assays are constantly in development, the bulk of worldwide clinical testing is dominated by only a handful of markers. These ‘boring’ markers are regularly used in patient evaluation – but the physiologic insights they can provide are often overlooked. In this talk I will explore how mathematical and statistical methods can be used to generate deep clinical and physiologic insights from routine clinical laboratory tests such as the complete blood count. From my own research I will show how careful analysis and modelling of biomarker dynamics can provide exciting and novel insights into homeostatic recovery and regulation, chronic illness, and physiologic shifts such as pregnancy and menopause.
▶RECORDING [available here after event]
