UnlearnDevelopment & IT AI Tool
Unlearn creates AI digital twins that slash clinical trial recruitment by up to 50% and predict patient outcomes from day one.
Unlearn creates AI digital twins that slash clinical trial recruitment by up to 50% and predict patient outcomes from day one.
Unlearn is most relevant for buyers who already know the problem they need to solve and want to compare one focused development & it product against nearby alternatives instead of reading a generic directory card. It sits in a comparison set that also includes Browse AI, Y2Doc, Unity.
On this page, the goal is to keep the evaluation practical: understand what Unlearn does well, where the custom enterprise quotes based on study size and scope, with a free pilot available for qualified studies under 50 subjects. pricing model makes sense, and which adjacent tools are worth opening in parallel before making a shortlist.
Teams exploring development & it can use Unlearn for reducing trial enrollment.
Teams exploring development & it can use Unlearn for predicting patient outcomes.

It handles partially de-identified spreadsheets with typos pretty well, churning out usable twins, but cleaner data definitely leads to tighter predictions-their team can flag issues and suggest fixes.
Primarily neurology, immunology, cardiometabolic, and respiratory; for rare diseases like lysosomal disorders, you'll need a custom contract that takes about six weeks but gets the job done.
You get detailed reports with SHAP values and feature importance-FDA has accepted them in a couple INDs so far, making it easier to show your work without guesswork.
It's marketed for trials, but some pharma teams run real-world evidence pilots-reach out, and if your case is compelling, they'll likely customize it for post-market needs.
Yes, via virtual private cloud or full on-prem, but it adds about 40% to costs and needs IT to manage GPUs-most stick with the secure cloud for simplicity.
You own them outright; Unlearn keeps a de-identified copy for model training unless you opt out, and they'll agree to data destruction addendums if needed.
It's no-credit-card access for studies under 50 subjects, just sign an NDA-great for testing without commitment, and onboarding is quick.
Routinely 85-90% in validated trials, but it depends on data quality-I've seen 88% in MS studies, which is solid for the field.
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