The Health-Tech Podcast #111: The Story of Unlearn.ai with Charles Fisher

Charles is a scientist with interests at the intersection of physics, machine learning, and computational biology and is the founder of Unlearn.ai . Previously, Charles worked as a machine learning engineer at Leap Motion and a computational biologist at Pfizer. He was a Philippe Meyer Fellow in theoretical physics at École Normale Supérieure in Paris, France, and a postdoctoral scientist in biophysics at Boston University. Charles holds a Ph.D. in biophysics from Harvard University and a B.S. in biophysics from the University of Michigan.


Unlearn creates Digital Twins to populate Intelligent Control Arms in clinical studies. While others leverage existing data, Unlearn generates a new type of data, for any type of patient. A Digital Twin is a longitudinal, computationally generated clinical record that describes what would have happened if a specific patient received a placebo.

https://www.linkedin.com/in/drckf/ | www.unlearn.ai

Get in touch:

www.jamessomauroo.com | www.somx.co.uk

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White Papers

Applications of Digital Twins in Clinical Trials for Alzheimer’s Disease

Press

Unlearn.AI named to the 2021 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups

Blog

Welcoming Dr. Taylor to Unlearn.AI’s Board of Directors

I’m honored to have such an inspirational and experienced leader like Dr. Taylor join our board.
The AI 100 is CB Insights' annual list of the 100 most promising private AI companies in the world.
How Digital Twins make it possible to design and run more efficient clinical trials with well-defined statistical properties.