Machine learning and deep learning are transforming biology, impacting genomics, proteomics, and disease diagnostics.

AI algorithms analyze biological data, identify genetic patterns, and expedite drug discovery, with applications in cancer, Alzheimer's, and COVID-19.

Machine learning models, including Transformer-based ones, are now being applied to drug discovery, previously used in natural language processing.

The integration of computational power and biological big data is crucial for harnessing AI in efficient drug development.

Explainable AI is being developed to ensure transparency in model outputs, aiding in predictions for cancer, cardiovascular diseases, and COVID-19 complications.

Overall, ML has the potential to significantly advance biomedical research, improving disease diagnosis, treatment, and reducing time and cost in drug discovery.