Axtria used an ML algorithm on patient-level data to predict non-adherence and project $15M in extra prescription revenue.

Patient non-adherence reduced outcomes and raised costs. Axtria built an AI/ML algorithm on patient-level healthcare data to predict non-adherence, trigger rule-based automation and flag treatment anomalies. The page reports 3,000 new patients identified (400 at high risk), 50,000 additional days of therapy and a projected $15M lift in prescription revenue.

Axtria is a commercial analytics and cloud software company for life sciences, used by pharma for field force analytics, next-best-action, forecasting and GenAI insight tools

This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.