Biomarker-Matched Targeted Therapy Simulator

Personalized medicine's central promise in oncology is simple to state and hard to see: a drug only works well when its molecular target is actually present. This simulator makes that visible. Choose which driver mutations a tumor's genomic profile carries — EGFR, HER2, BRAF or KRAS — set how much of the tumor expresses each one, then pick a targeted therapy and watch drug molecules dock onto a live 3D field of tumor cells. Cells that present the drug's matched target light up and bind; cells that don't drift the molecule away unused. A concordance-based response model turns that biomarker match (or mismatch) into a live predicted response probability, binding-affinity score and bound-cell count, mirroring why real precision-oncology panels sequence a tumor before prescribing an inhibitor.