Interactive Plotly visualisations of the DT-RL computational framework — explore PK dynamics, tumour trajectories, RL convergence, dose schedules, safety metrics, and the animated side-by-side comparison.
⚠ All data are in-silico AI-simulated outputs. No human subjects or clinical trials were involved.
RL-optimised vs Fixed-dose across 3 patients (mg)
Initial vs Final tumour volume per patient (cm³)
Simulated plasma drug concentration over time — RL-adaptive vs Fixed dosing (3 patients)
Digital Twin ODE simulation over 180-day treatment horizon
Episode reward over 500 training episodes with rolling average
Multi-dimensional safety benchmarks: RL vs Fixed dosing
Scatter: cumulative dose (mg) vs final ANC — RL vs Fixed per patient
Cycle-by-cycle dose intensity per patient — RL-adaptive scheduling across 6 treatment cycles
Simulated drug concentration across physiological compartments at peak (Cmax) for RL-optimised dosing
Digital Twin Gompertz ODE · 3 virtual patients · Day-by-day animated progression · Press Play or drag the slider
Area Under the Curve (AUC) of tumour volume over 180 days — RL vs Fixed dosing per patient. Lower AUC = less total tumour burden experienced by the patient.