Developing a Model-Based Pipeline for Combination Therapy Cycling - KRAS Mutated NSCLC

Explore the development of a mathematical modeling pipeline designed to optimize combination therapy cycling strategies for KRAS-mutated non-small cell lung cancer (NSCLC) in this 21-minute conference presentation. Learn how computational approaches can be applied to oncology treatment planning, specifically focusing on the challenges of managing drug resistance and treatment sequencing in cancer therapy. Discover the methodological framework for creating predictive models that can inform clinical decision-making regarding when and how to cycle between different therapeutic combinations. Examine the specific considerations for KRAS-mutated NSCLC, a particularly challenging cancer subtype, and understand how mathematical oncology principles can be translated into practical treatment protocols. Gain insights into the intersection of mathematical modeling, cancer biology, and clinical oncology as applied to personalized medicine approaches for lung cancer patients.