Unlearn

Unlearn is for clinical trial sponsors, researchers, and biostatistics teams looking to make trial analyses more informative and use participant data efficiently. Its AI models use a participant’s baseline data to forecast their potential outcomes under standard care or control, drawing on historical patient-level data. These forecasts, called digital twins, provide prognostic information about how participants might fare without the experimental treatment; they do not predict treatment response. Trial teams can use the forecasts in randomized studies to adjust statistical analyses and potentially improve power or reduce the number of participants needed. Unlearn also supports trial design and interim analyses, and offers approaches for evaluating treatment in single-arm studies using model-generated control comparisons. Its disease-specific models cover conditions across areas including neuroscience, immunology, and metabolic disease. Unlearn is a specialized clinical research tool, not a personal health app for patients.

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