Quantitative Biology > Tissues and Organs
arXiv:2502.19333 (q-bio)
[Submitted on 26 Feb 2025]
Title:Validating the predictions of mathematical models describing tumor growth and treatment response
Authors:Guillermo Lorenzo,David A. Hormuth II,Chengyue Wu,Graham Pash,Anirban Chaudhuri,Ernesto A. B. F. Lima,Lois C. Okereke,Reshmi Patel,Karen Willcox,Thomas E. Yankeelov
View a PDF of the paper titled Validating the predictions of mathematical models describing tumor growth and treatment response, by Guillermo Lorenzo and 9 other authors
View PDFAbstract:Despite advances in methods to interrogate tumor biology, the observational and population-based approach of classical cancer research and clinical oncology does not enable anticipation of tumor outcomes to hasten the discovery of cancer mechanisms and personalize disease management. To address these limitations, individualized cancer forecasts have been shown to predict tumor growth and therapeutic response, inform treatment optimization, and guide experimental efforts. These predictions are obtained via computer simulations of mathematical models that are constrained with data from a patient's cancer and experiments. This book chapter addresses the validation of these mathematical models to forecast tumor growth and treatment response. We start with an overview of mathematical modeling frameworks, model selection techniques, and fundamental metrics. We then describe the usual strategies employed to validate cancer forecasts in preclinical and clinical scenarios. Finally, we discuss existing barriers in validating these predictions along with potential strategies to address them.
| Subjects: | Tissues and Organs (q-bio.TO); Computational Engineering, Finance, and Science (cs.CE); Cell Behavior (q-bio.CB); Quantitative Methods (q-bio.QM) |
| Cite as: | arXiv:2502.19333 [q-bio.TO] |
| (orarXiv:2502.19333v1 [q-bio.TO] for this version) | |
| https://doi.org/10.48550/arXiv.2502.19333 arXiv-issued DOI via DataCite |
Submission history
From: Guillermo Lorenzo [view email][v1] Wed, 26 Feb 2025 17:27:42 UTC (1,795 KB)
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View a PDF of the paper titled Validating the predictions of mathematical models describing tumor growth and treatment response, by Guillermo Lorenzo and 9 other authors
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