AI in Action
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.

01Challenge02AI Technology03Applied Today04Real-World Example05Impact
01 · Challenge

Predicting human outcomes before clinical trials remains one of drug development’s greatest challenges.

Traditional animal models do not always predict how patients will respond to complex biologics, creating uncertainty, cost and development risk.

Limited predictability of animal models
High failure rates in clinical development
Time, cost and ethical implications
Story · 01 Challenge
01Limited predictability of animal models
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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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