Bridging the Gap: Drug Discovery and AI

One of the key issues with drug discovery is dealing with uncertainty on outcome timing, having few observations in your patient samples, and being overwhelmed with features. In this article I discuss some of the data science methods used previously and new approaches my team and I have been able to take resulting in success. Using AI for drug discovery is one of the most exciting domains that is already starting to impact and improve our society. Suppose you are asked to compare proportions-risks, rates, etc… between different groups. If you are in the realm of statistical testing, you will be using a chi-square or the Fisher-Exact test, or Logistic Regression and allied models beyond that.