Evolutionary Immunotherapy in NSCLC - Optimal Dosing in Adoptive Cell Therapy
Mathematical Oncology via YouTube
-
11
-
- Write review
The Fastest Way to Become a Backend Developer Online
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore optimal dosing strategies for adoptive cell therapies in non-small cell lung cancer (NSCLC) through this 14-minute conference talk that applies agent-based modeling to evolutionary immunotherapy approaches. Learn how mathematical oncology principles can be used to identify the most effective dosing protocols for adoptive cell therapies, examining the evolutionary dynamics between cancer cells and therapeutic immune cells. Discover how computational modeling techniques can inform clinical decision-making in immunotherapy treatment planning, with specific focus on optimizing therapeutic outcomes while minimizing potential resistance development in NSCLC patients.
Syllabus
Sandhya Prabhakaran: "Evolutionary immunotherapy in NSCLC: Optimal dosing in adoptive cell therapy"
Taught by
Mathematical Oncology