I study the dynamics of human pathophysiologic processes by developing mathematical descriptions of complex human disease phenotypes and how they change over time. Pathophysiology may be described at the molecular, cellular, tissue, and organismal levels and may show clinically significant variation over time scales ranging from less than a second to more than a decade. The research combines medical insight, dynamic systems theory, and experiments utilizing microfluidics, video processing, flow cytometry, simulation, and large-scale analysis of medical databases in pursuit of two goals: (1) advancing fundamental understanding of the dynamics of human pathophysiology, and (2) improving patient diagnosis, monitoring, and treatment.
Edelson PK, James KE, Leong A, Arenas J, Cayford M, Callahan MJ, Bernstein SN, Tangren JS, Hivert MF, Higgins JM, Nathan DM, Powe CE Longitudinal Changes in the Relationship Between Hemoglobin A1c and Glucose Tolerance Across Pregnancy and Postpartum. J Clin Endocrinol Metab. 2020;:ePub - PMID: 32010954 - DOI: 10.1210/clinem/dgaa053
Chaudhury A, Miller GD, Eichner D, Higgins JM Single-cell modeling of routine clinical blood tests reveals transient dynamics of human response to blood loss. eLife. 2019;8:ePub - PMID: 31845889 - PMCID: PMC6917488 - DOI: 10.7554/eLife.48590
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Physiologic and pathologic population dynamics of human blood cells in various forms of anemia.
Rheodynamics of vaso-occlusion in sickle cell disease.
Patient immunologic response to blood transfusion.
Other important pathophysiologic processes where states can be measured with temporal and spatial resolution sufficient for productive mathematical modeling.