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Explore how mathematical modeling can predict cancer therapeutic responses through karyotype-driven adaptations in this 19-minute conference talk from Mathematical Oncology. Learn about the relationship between chromosomal abnormalities (karyotypes) and how cancer cells adapt to metabolic restrictions, and discover how these adaptations can be modeled to forecast both therapeutic effectiveness and immunogenicity in various cancer types. Gain insights into the intersection of genomics, metabolism, and cancer treatment prediction through computational approaches that analyze how chromosomal changes drive cellular adaptations in the tumor microenvironment.
