Learning mechanistic models that link cells, circuits, and computations
Video · 45 min · Dec 17, 2025
Jakob Macke, Tubingen University
The Influenza Paradox: When Biomarkers Mislead and Models Reveal the Biology
Immunology, Mathematical Biology, Mathematical Modeling and seminar by Amber Smith, University of Tennessee Health Science Center College of Medicine; Institute for the Study of Host-Pathogen Systems
Hosted by Duke University, Multiscale Immune Systems Modeling Seminar Series
Thursday 10:00–11:00 New York (GMT-5)
Starts in 28 days
Online
Abstract
Amber Smith examines immune mechanisms underlying respiratory infections using mechanistic mathematical models combined with multimodal data. Using influenza, the seminar shows how models can expose biological processes that measurements alone do not reveal, explain why similar biomarker profiles can reflect different disease states, and improve predictions of outcomes. The approach links otherwise inaccessible mechanisms to a foundation for predictive, mechanism-based precision medicine.
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