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.

01Challenge 02AI Technology 03Applied Today 04Real-World Example 05Impact

05 · Impact

Faster decisions. Better predictions. Fewer animal studies.

By predicting human efficacy earlier, Digital Patient Twins help researchers select better candidates, prioritize development decisions and accelerate promising therapies with greater confidence.

Earlier candidate selection

Greater confidence in development decisions

Reduced reliance on animal efficacy studies

Story · 05 Impact

01Earlier candidate selection

← Real-World Example←→ to move between stages · Stage 5 of 5 · QSPNext program: IDD →

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.

Next program: IDD →