🧪 Health Oncology Simulation

This simulation demonstrates cancer progression and treatment strategies by modeling a tumor as two competing cell populations — chemo-sensitive and drug-resistant — growing under Gompertzian dynamics and struck by periodic chemotherapy cycles. Each cycle applies a real log-kill dose-response, and because resistant cells barely respond to the drug, repeated chemotherapy acts as an evolutionary filter that lets a rare resistant clone take over the tumor over time. Investigate the effects of dose intensity, cycle spacing, and adding concurrent radiation therapy (a non-cross-resistant intervention) on how fast the tumor shrinks, relapses, or becomes dominated by resistant disease — one of the central challenges in oncology research.