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Simulating thousands of virtual patients on a computer can suggest which dose and schedule to test, so fewer real patients receive doses that are too high or too low.
Quantitative systems pharmacology and mechanistic tumour growth models, calibrated on prior trial data, can simulate exposure-response across virtual populations. Regulators already accept model-informed drug development for paediatric extrapolation and some dosing decisions. Project Optimus requires dose optimisation; simulation could narrow the candidate schedules before the randomised dose-comparison stage, saving patients and time.
Shares Insilico Medicine, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, AI-driven drug & target discovery.
Shares Insilico Medicine, Estimation of clinical trial success rates and related parameters, AI-driven drug & target discovery, Lab models that fail to predict what happens in patients.
Shares Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, AI-driven drug & target discovery.
Shares Estimation of clinical trial success rates and related parameters, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, Lab models that fail to predict what happens in patients.
Shares Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, AI-driven drug & target discovery.
Shares Estimation of clinical trial success rates and related parameters, AI-driven drug & target discovery, Lab models that fail to predict what happens in patients.
Shares Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, AI-driven drug & target discovery.
Shares Estimation of clinical trial success rates and related parameters, AI-driven drug & target discovery, Lab models that fail to predict what happens in patients.