The Duke University
Mathematical Biology Colloquium
- Friday, October 1, 2021, 12:00pm, Physics 119, Mathematical Biology Seminar
Katie Newhall (University of North Carolina at Chapel Hill, Mathematics)
- Friday, October 8, 2021, 12:00pm, Zoom, Mathematical Biology Seminar
Mathematical models of cancer drug resistance
Avner Friedman (The Ohio State University, Mathematics)
- Drug resistance is a primary obstacle in cancer treatment. In many patients who first respond well to treatment, relapse occurs within months. The question how to overcome drug resistance is currently explored in many clinical trials, by using combination of drugs, or by changing protocols of treatment. Mathematical model can be useful in explaining how resistance to cancer drug develops, and then suggesting how to overcome it with In this talk I will give several such examples. The mathematical models are represented by dynamical systems of PDEs for variables which are cells densities, concentrations of proteins (cytokines) and drugs, within a tumor; the tumor boundary is evolving in time, it is a free boundary, unknown in advance. The model is validated by comparison the simulations of the model with mice data. The drugs we shall consider are mostly immunotherapy, PD-1 and CTLA-4 inhibitors; these drugs, which were developed a few years ago, revolutionized the treatment of melanoma , lung cancer and other cancers, but have been associated with resistance.
- Friday, October 15, 2021, 12:00pm, Zoom, Mathematical Biology Seminar
Nilima Nigam (Simon Fraser University, Mathematics)
- Friday, November 5, 2021, 12:00pm, Physics 119, Mathematical Biology Seminar
John Gemmer (Wake Forest University, Mathematics)
- Friday, November 19, 2021, 12:00pm, Physics 119, Mathematical Biology Seminar
Kevin Flores (North Carolina State University, Mathematics)
Lunch after the talk with the speaker for interested participants.
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