Chris discusses a revolutionary approach to drug development that leverages automation and AI to create vast biological data sets. By moving away from traditional methods that focus on single diseases, this strategy allows for a more comprehensive understanding of biology, ultimately improving the chances of successful drug discovery. The insights gained from comparing millions of experiments pave the way for innovative solutions in challenging areas of medicine.
