THE IMPACT OF AI/ML IN DRUG DISCOVERY ISN'T WHERE YOU THINK IT IS

Summary from the TLDR newsletter

Decision making in biotech is ridiculously difficult. ML systems can automate low- and medium-level decision making. These systems can generate more data and better synthesize that data into decisions. They are able to systematize human rational frameworks into quantitative, interpretable, and scalable analytic engines. Enabling model-driven decision making would require building an organization in a data centric way with an engineering culture.