Patient Stratification Clustering Simulator

Personalized therapy starts with a deceptively simple question: which patients are actually alike? This simulator places synthetic patients in a 3D biomarker space and runs real k-means clustering — the same assign-then-average loop used to build stratified treatment cohorts — live in front of you. Watch centroids converge as groups tighten around shared biomarker profiles, track the inertia readout fall every iteration, and click anywhere in the space to drop in a new patient and see which therapy cohort they get triaged into.