Unlearn uses AI-generated digital twins to forecast patient health outcomes and accelerate clinical trials in neuroscience, immunology, and metabolic

Unlearn AI is a California-based company that applies AI to healthcare and drug development. Using generative machine learning, it creates “digital twins” — detailed simulations of individual patients that project a patient’s health journey over time. These digital twins forecast how a patient’s health might change, estimate treatment effectiveness, and speed up enrollment in AI-powered clinical trials. Unlearn focuses on neuroscience, immunology, and metabolic diseases, where its approach reduces guesswork and makes clinical research more efficient.
Unlearn is built for professionals in clinical research, data science, biostatistics, pharmaceutical science, neuroscience, immunology, medicine, health economics, regulatory affairs, and clinical trial management.
The process starts with a trial participant’s baseline data. An AI model trained on historical data generates a digital twin for each participant, simulating their future health outcomes. Teams can then run “what if?” scenarios to forecast potential outcomes, compare how different treatments might perform, and use those simulations to tailor treatment plans to individual patients.
The tool can be applied across neuroscience, immunology, and metabolic diseases to speed up trial enrollment and assess treatment effects. In randomized clinical trials, Unlearn’s prognostic scores strengthen analysis and support regulatory compliance.
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