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Precision Oncology Biomarker Matching

Simulate a heterogeneous tumor's gene-expression profile and see how targeted-therapy biomarker matching, dosing and clonal resistance shape treatment outcome.

Medicine & Biophysics2DModerate60 FPS📱 Mobile-adapted

Precision medicine tailors treatment to a patient's own molecular data instead of a one-size-fits-all protocol. This simulator renders a genetically heterogeneous tumor as a 3D population of cells, each carrying its own gene-expression profile across three real biomarkers — HER2, EGFR and PD-L1. Pick a targeted therapy, set the dose, optionally add a checkpoint-inhibitor combo, and run weekly treatment cycles: cells are killed in proportion to how strongly they express the matched biomarker, survivors repopulate with a small chance of mutating, and — exactly as in real oncology — a single-target therapy leaves biomarker-low subclones to survive and repopulate the tumor, a live demonstration of clonal selection and acquired drug resistance.

⚙ Under the hood

This simulation explores the core principles of precision medicine – tailoring treatments to individual patients based on their unique genetic and clinical data. By manipulating variables like gene expression profiles and biomarker levels, users can observe how these factors influence drug response and treatment outcomes.

Precision MedicineMedical Tech

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install