unlearn

Unlearn uses AI to create digital twins of clinical trial participants, streamlining clinical development and enabling confident decision-making. Their platform simulates outcomes for every participant at the beginning of a clinical study, predicting every clinical outcome at every future time point with precision. They generate digital twins of patients in studies, delivered through a state-of-the-art, easy-to-use platform that minimizes trial failure, cuts costs, and accelerates timelines. Use Cases: Accelerating trial timelines by designing smaller, more powerful studies, Enhancing decision-making by exploring predicted outcomes for participant subgroups, De-risking trial design by simulating protocol scenarios Pros: Accelerated clinical development, Reduced trial costs, Improved decision-making Cons: Requires integration with existing clinical trial processes, May require expertise in AI and digital twin technology, Limited information on specific data privacy and security measures

What is unlearn.ai? TrialPioneer is an AI‑enabled workspace designed for upstream clinical trial design that consolidates literature search, data exploration, and scenario modeling into a single interface. It provides Scout for automated aggregation of PubMed, ClinicalTrials. gov, and FDA drug information; Hindsight for harmonized analysis of trial and real‑world datasets; and SimLab for reproducible comparison of design scenarios. The platform integrates digital twin generators to supply AI‑generated control outcomes, enabling smaller sample sizes and increased statistical power. Clinical development teams can use TrialPioneer to align decisions, reduce iteration cycles, and anchor assumptions to credible evidence. The solution serves sponsors, CROs, and research teams across neuroscience, immunology, metabolic disease, and other therapeutic areas.