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.

Podcasts

Your Digital Twin - UnlearnAI

Podcasts

Using AI Digital Twins for Drug Testing

Press

Unlearn.AI Closes On $12M To Improve Clinical Trials

The Unlearn platform processes historical clinical trial datasets from thousands of patients to build the disease-specific machine-learning models used to create what is called “Digital Twins” and...
Dr. Charles Fisher, CEO of Unlearn AI, discusses creating digital clones by using artificial intelligence for use in clinical drug trials.
A fascinating approach to the problem of how to make clinical trials more efficient, and understand more about what may be possible with more and better patient data.

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