Using Machine Learning To Make Drug Discovery Better

They hope that their method will be used for post-approval surveillance of drugs that have already received FDA approval but still carry a risk of toxicity. For instance, one diabetes drug that was on the market was flagged by PrOCTOR and when it was investigated further, it did indeed reveal that it had been taken from the market in Europe.