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Reinventing
Clinical Trials
Synthetic Control Patients
for Therapeutic Development

Bringing Innovative Medicines to Patients Faster

Unlearn accelerates clinical trials by supplementing control groups with synthetic patient data generated using AI.

This dramatically reduces the time to develop new medicines, allowing life-saving new therapies to reach patients years sooner than otherwise possible.


It takes more than a decade to bring a new medicine to market. Much of that time is spent finding and recruiting enough patients with the right characteristics to rigorously test the medicine’s safety and efficacy in a series of clinical trials.

Learn About Our Science

Current State of Development

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Faster Clinical Trials

Using synthetic control patients cuts patient recruitment time for a trial in half. This reduces clinical trial cycle time and time-to-market by 30 to 60%.

Our Products

More Efficient Clinical Trials

Synthetic control patients minimize patient recruitment cost and dropout by reducing the total number of patients involved in a clinical trial.

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Less Risky Clinical Trials

Unlearn’s synthetic control patients eliminate population differences between the control and treatment arms to improve power and increase confidence in trial results.

Our Products

Benefits of Synthetic Control Patients for Sponsors

Faster Clinical Trials

Using synthetic control patients cuts patient recruitment time for a trial in half. This reduces clinical trial cycle time and time-to-market by 30 to 60%.

More Efficient Clinical Trials

Synthetic control patients minimize patient recruitment cost and dropout by reducing the total number of patients involved in a clinical trial.

Less Risky Clinical Trials

Unlearn’s synthetic control patients eliminate population differences between the control and treatment arms to improve power and increase confidence in trial results.

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Why Unlearn?

Our team is pushing the boundaries of machine learning for medicine and is committed to the highest standards of rigor. We partner with study sponsors at any stage of clinical development and provide support all the way through regulatory submission.

Unlearn’s synthetic control patients are created using state-of-the-art, patent-pending machine learning algorithms and fully auditable data processing frameworks.

See what Professor Collin M. Stultz, MD, PhD has to say about Unlearn.

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From Our Blog