
E210: Beyond Alzheimer’s: Scaling Digital Twins Across Disease Areas
From AI For Pharma Growth by Dr Andree Bates
March 25, 2026 · 32 min · Episode 210
About this episode
The episode discusses the application of digital twins in clinical trials, particularly in Alzheimer's research, featuring an interview with Aaron Smith from Unlearn AI.
Digital twins have become one of the most promising tools in Alzheimer’s research, but the bigger story is what happens when they scale across disease areas. In this episode, Dr Andree Bates interviews Aaron Smith , Founder and Head of Machine Learning at Unlearn AI , about how “digital twin generators” can transform trial design by modelling realistic patient progression and improving statistical power without compromising the fundamentals of randomised controlled trials. Aaron shares his journey from academic mathematics into computer vision and machine learning, then into biopharma, where Unlearn began by building generative models that learn the joint distribution of clinical variables. In practice, that means the model can take baseline patient measurements and generate likely future progressions that are as indistinguishable from real clinical records as possible. The conversation dives into a key misconception: digital twins are not only about replacing control arms. Aaron explains a regulatory friendly approach where you keep standard trial structure, but add counterfactual information for every patient into the analysis. Unlearn’s best known method, ProCOVA (prognostic…
People in this episode
Host: Dr Andree Bates
Guest: Aaron Smith
Topics covered
- digital twins
- Alzheimer's research
- biopharma
- machine learning
- clinical trials
- statistical power
Keywords
- digital twins
- Alzheimer's
- trial design
- machine learning
- biopharma
- ProCOVA
- clinical variables
Mentioned in this episode
Organizations: Unlearn AI
Products: ProCOVA
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