QSPQuantitative Systems Pharmacology

Digital patient twins.

Novel asthma treatment accelerated by more than one year.

Combining human biology, computational modeling and AI, Digital Patient Twins create virtual patient populations that simulate disease progression and treatment response.

These human-based predictions help researchers assess efficacy earlier, evaluate candidates with greater confidence and make faster development decisions while reducing reliance on animal testing.

03 · Applied Today

Supporting candidate selection across 29 programs.

Digital Patient Twins are already supporting candidate selection across 29 programs in respiratory, skin and gastrointestinal diseases.

Researchers use virtual patient populations to evaluate novel therapies and generate human-based predictions before animal efficacy studies.

Predict patient response before clinical trials
Generate human-based predictions before clinical testing
Reduced reliance on animal efficacy studies
Story · 03 Applied Today
01Predict patient response before clinical trials
29programs in respiratory, skin and gastrointestinal diseases
to move between stages · Stage 3 of 5 · QSP
Simulate first.Decide smarter.Develop faster.

By combining human biology, computational modeling and AI, we’re helping bring the right therapies to patients faster and with greater confidence.

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