Case Study: Astellas Pharma improves AML forecasting and treatment planning with AnyLogic

Simulation of Disease Progression for Pharmaceutical Forecasting

Astellas Pharma needed a better way to forecast and understand the complex progression of acute myeloid leukemia (AML), where diagnosis, treatment, and outcomes vary widely by patient factors and market conditions. Using AnyLogic, Astellas built a systems science-based, agent-based model to simulate patient journeys through screening, diagnosis, disease progression, and treatment.

AnyLogic’s solution combined publicly available data with external factors to improve realism and support product planning. The model closely matched published literature, and with AnyLogic Cloud, Astellas could visualize assumptions and run forecasting, sensitivity analysis, and Monte Carlo simulations to assess how market changes might affect patients and future treatment strategies.

Astellas Pharma