Virtual patient populations that simulate disease and treatment response.
Digital Patient Twins combine computational modeling, quantitative systems pharmacology and AI to simulate disease progression and treatment response.
By integrating human biology with real-world and experimental data, Digital Patient Twins help researchers evaluate therapeutic candidates earlier, increase confidence in candidate selection and reduce reliance on animal efficacy studies.
