Cancer models: Coping with complexity

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Type
Abstract

Cancer is complex, working at multiple spatial and temporal scales, underpinned by a convoluted network of cell cycle controls and cell-cell interactions. Heterogeneity of cells within tumors has emerged as a key factor in tumor evolution and progression, further adding to the challenge.  After introducing some of the complexity we face, I present four modeling approaches: ecological, cell biology, phenotypic evolution, and network evolution.  I conclude with some of the mathematical and practical challenges we face in better understanding and controlling cancer initiation and progression.

Bio
https://profiles.faculty.utah.edu/u0028684

Description

Colloquium and 4th Annual Distinguished Lecture of the Simon A. Levin Center
Wednesday, April 8
12:00pm
WXLR A103 (New room)

Faculty host: Joan Ponce

Flyer for Fred Adler colloquium
Speaker

Fred Adler
Professor and Director of the School of BIological Sciences
Professor of Mathematics
University of Utah

Location
WXLR A103