Weβve had statistical and Ml models looking for possible drugs for like over a decade now, and itβs produced a huge candidate list with not enough scientists to test it. These big data approaches often suffer from bad mathematical approaches which have tons of false positives, with papers being shat about jeets who run tests 1000 times till get the results they want by pure chance.
There is also the fact nature does not care about our mathematical models.
