Unlearn.AI nabs $12M to build “Digital Twins” to speed up and improve clinical trials

Twins have long played a role in the world of medical research, specifically in the area of clinical trials, where they can help measure the effectiveness of a therapy by applying a control to one of a genetically-similar pair. Today, a startup founded by a former principal scientist at Pfizer, which has developed a way of digitising this concept through the use of AI, is announcing some funding to further its efforts. Unlearn.AI, which has built a machine learning platform that builds “digital twin” profiles of patients that become the controls in clinical trials — is announcing that it has raised $12 million in a Series A round.

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Digital Twins: A Tool for Risk Mitigation in the Era of COVID-19

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CB Insights 2020 Digital Health 150: Unlearn.AI named in List of Most Innovative Digital Health Startups

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Embracing Innovation to Move Forward

At Unlearn, our goal is to use the data available from historical trials, to generate new evidence to inform and advance research.
Unlearn is thrilled to be recognized as a contributing member of the international community of pioneers in health.
In what ways can we mitigate risk and apply innovative solutions to unstable trials in the wake of COVID-19?