A model asset rather than a raw corpus

UNLEARN.AIbuyer room · privateManage buyer room

A model asset rather than a raw corpus: trained generative digital-twin models that forecast an individual participant's clinical outcome trajectory, built per therapeutic area from sponsor clinical trial data and natural-history data. Published evidence areas include ALS, Alzheimer's and a pan-cancer foundation model. The licensable artefacts are the fitted patient-progression generators, the synthetic control/cohort populations they emit, and the validation evidence set that was used to demonstrate twin accuracy against real trial arms