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Mon. Jul 7, 2025

Tue. Jul 8, 2025

Wed. Jul 9, 2025

Thu. Jul 10, 2025

Fri. Jul 11, 2025

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Bayesian information-theoretic approach to determine effective scanning protocols of cancer patients

This mini-symposium aims to discuss recent advances in mathematical models of cancer to understand tumor progression and responses better. Featuring expert presentations, we will explore various mathematical and computational modeling approaches that simulate tumor growth, treatment effects, and the interplay between cancer cells and their microenvironment. Topics will include the development of multi-scale models that account for cellular heterogeneity, integrating clinical or biological data to refine predictive capabilities, and using agent-based models to simulate individual patient responses to therapy. By bringing together researchers from diverse fields, this symposium seeks to foster collaboration and inspire innovative strategies for personalizing cancer treatment.

Understanding complex dynamics of cancer progression and treatment response

Joint Meeting of Asian Conference for Mathematical Biology and Annual Meeting of Japanese Society for Mathematical Biology (ACMB-JSMB2025)

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[SS22-04]Bayesian information-theoretic approach to determine effective scanning protocols of cancer patients

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