Drug Discovery Revolution

Greg discusses the transformative impact of machine learning and deep learning on drug development, emphasizing its potential to reduce trial and error. He highlights the significant increase in hit rates when predictive models are used in small molecule development and foresees a future where lab experiments are guided by these models, enhancing efficiency and success rates in research.