What is Unlearn.ai?
Unlearn.ai is a cutting-edge platform that leverages artificial intelligence and digital twin technology to revolutionize clinical trial processes. By creating AI-generated digital twins of trial participants, Unlearn enables more efficient, data-driven decision-making across the entire trial lifecycle. The platform integrates fragmented data, tools, and institutional memory into a unified workspace, allowing trial teams to plan, monitor, and analyze with confidence.
Key features include a centralized workspace for upstream trial design, where users can continuously search, structure, and summarize relevant literature from sources like PubMed, ClinicalTrials.gov, and drugs@FDA. This eliminates scattered searches and aligns teams on precedent in days rather than weeks. Users can explore harmonized clinical trial and real-world datasets to validate assumptions about population characteristics, endpoint behavior, and benchmarks. They can also build and compare trial-design scenarios to evaluate endpoints, inclusion/exclusion criteria, sample size, and constraints, with every scenario being reproducible and linked to underlying evidence.
For monitoring, Unlearn provides continuous patient and site-level surveillance, detecting anomalies as they emerge—such as unexpected values, off-trajectory responders, and multivariate signals benchmarked against historical patient trajectories. This goes beyond generic, population-wide cutoffs to offer precise insights.
The platform's digital twins serve as AI-generated forecasts of expected control outcomes, used as external comparators in early-stage and open-label studies. This strengthens trial analyses, reduces the need for placebo groups, and accelerates development. Unlearn works across therapeutic areas including neuroscience, immunology, and metabolic disease, making it versatile for various clinical research needs.
Benefits include faster trial design, reduced costs, improved data quality, and more confident decision-making. Use cases range from optimizing study protocols to enhancing safety monitoring and supporting regulatory submissions. By integrating evidence, modeling, and reasoning, Unlearn ensures each decision builds on the last, streamlining clinical development and enabling confident decision-making.
Use Cases
Key Features
AI generated digital twins centralized workspace literature search and summarization trial design scenario comparison data integration and harmonization continuous trial monitoring evidence linked reproducibilityWho is it for?
clinical trial teams, biostatisticians, clinical data managers, pharmaceutical researchers, regulatory affairs professionals, CROs
