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Biomarker-Adaptive Tumor Dosing Digital Twin

A virtual-patient digital twin coupling a one-compartment pharmacokinetic drug model to a Gompertzian tumor-growth model: compare fixed-schedule dosing against real-time biomarker-adaptive dosing and watch tumor volume, plasma concentration and toxicity risk evolve in 3D.

Medicine & Biophysics3DAdvanced60 FPS📱 Mobile-adapted⇄ 2D version

This simulator is a small computational digital twin of a single patient: a one-compartment pharmacokinetic model tracks how a drug's plasma concentration rises with each dose and decays through elimination, while a Gompertzian pharmacodynamic model tracks how that concentration shrinks a tumor over time. Switch between a fixed dosing schedule and a biomarker-adaptive strategy that withholds a dose whenever the live plasma-concentration biomarker is still above a chosen toxicity threshold, and watch the 3D tumor-cell cluster shrink or regrow, and its color shift from safe blue-green to toxic red, as the two models play out together.

⚙ Under the hood

A virtual-patient digital twin couples a one-compartment pharmacokinetic drug model to a Gompertzian tumor-growth model — compare a fixed dosing schedule against a real-time biomarker-adaptive strategy that withholds doses above a toxicity threshold, watching a 3D tumor-cell cluster shrink, regrow, and shift color as plasma concentration and tumor volume evolve together.

personalized medicinepharmacokineticsoncologydigital twinbiomarkerdosing

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install