Revolutionizing Drug Discovery with Machine Learning

This chapter explores the transformative role of machine learning in drug discovery, discussing how advanced data science can improve efficiencies and reduce costs. It examines the challenges of high failure rates and financial burdens in the industry, advocating for a shift towards targeted treatments for smaller patient populations. The chapter also highlights the obstacles faced by smaller biotech companies in securing investment compared to larger pharmaceutical firms, particularly in the adoption of innovative technologies.