How can you use digital twins for faster clinical trials requiring fewer patients?
Dr Charles Fisher is the CEO and Founder of Unlearn.ai — which uses digital twins to reduce the number of patients required in clinical trials.
In a clinical trial, you usually have a treatment group who receive the drug/treatment, and a control group who receive a placebo. This means that a large number of patients need to be given a placebo — a fake or dummy version of the treatment with no therapeutic effect.
But using generative machine learning models, you can create a digital twin — a digital copy of a patient which might be able to emulate what would have happened to that patient if they’d received a placebo.
The promise of this technology is faster clinical trials, requiring fewer patients and producing better evidence.
Charles completed his PhD in Biophysics at Harvard and has raised $17M to date for Unlearn.ai. We talk about digital twins, viewing clinical trials with a biophysics lens and some of the challenges in getting this technology adopted.
I hope you enjoy.
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