Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology

Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology

Summary: We provide an overview on the use of biological assays to calibrate and initialize mechanism-based models of cancer phenomena. Although artificial intelligence methods currently dominate the landscape in computational oncology, mathematical models that seek to explicitly incorporate biologi...

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Bibliographic Details
Main Authors: Anum S. Kazerouni, Manasa Gadde, Andrea Gardner, David A. Hormuth, II, Angela M. Jarrett, Kaitlyn E. Johnson, Ernesto A.B. F. Lima, Guillermo Lorenzo, Caleb Phillips, Amy Brock, Thomas E. Yankeelov
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:iScience
Subjects:
Bioengineering
Systems Biology
Cancer
In Silico Biology
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422031004X

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http://www.sciencedirect.com/science/article/pii/S258900422031004X

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