In the field of drug discovery, ML can be used to analyze large amounts of data from various sources, including genomic data, chemical data, and data from previous clinical trials. This can help identify new targets for drugs and predict the potential efficacy of drug candidates.
Overall, the use of ML in drug discovery is still a relatively new field, and there is a lot of ongoing research to explore its full potential.

Photo and Source: Machine Learning in Drug Discovery: A Review – Artificial Intelligence Review