Problems, Progress and Perspectives in Mathematical and Computational Biology

Qixuan Wang1,2, Hans G Othmer3, Philip K Maini4

  • 1Department of Mathematics, University of California, Riverside, Riverside, California, USA. qixuanw@ucr.edu.

Summary

This collection highlights advances in mathematical and computational biology, showcasing state-of-the-art modeling and computational techniques for life science problems. Experts discuss future directions in theoretical neuroscience, cancer, and developmental systems.

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