Cancer Drug Persistence - Modeling a Continuum of Phenotypic States
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Get 20% off all career paths from fullstack to AI
AI, Data Science & Cloud Certificates from Google, IBM & Meta
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn about cancer drug persistence through mathematical modeling in this 46-minute conference talk where Herbert Levine from Northeastern University explores how tumors develop resistance to targeted therapies. Discover how a small minority of cancer cells adopt quiescent states to avoid cell death during treatment, eventually leading to tumor recurrence and genomic resistance. Examine the innovative approach of treating drug persistence as a continuous quantitative trait governed by drift-diffusion equations that depend on drug concentration and epigenetic state. Compare theoretical results with experimental data from EGFR-dependent non-small-cell lung cancer studies conducted across multiple cancer biology laboratories, gaining insights into the mathematical frameworks used to understand and potentially overcome therapeutic resistance in cancer treatment.
Syllabus
Herbert Levine - Cancer Drug Persistence; Modeling a Continuum of Phenotypic States - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)