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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.
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.
Area of Science:
- Mathematical and Computational Biology
- Life Sciences
Background:
- Experts in mathematical and computational biology were invited to share insights.
- Focus on major problems and recent research results in the field.
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