Modeling Karyotype-Driven Adaptations to Predict Therapeutic Response
Mathematical Oncology via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Get 20% off all career paths from fullstack to AI
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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.
Syllabus
Vural Tagal: "Modeling karyotype-driven adaptations to predict therapeutic response"
Taught by
Mathematical Oncology