Integrating Machine Learning in Drug Discovery

This chapter explores the transformative role of machine learning in drug discovery, particularly through the lens of high throughput biology and bioengineering. It discusses the potential of induced pluripotent stem cells and CRISPR in simulating disease mechanisms, while emphasizing the importance of collaboration between biology and machine learning experts. Additionally, it addresses the challenges of integrating automated systems with existing hardware and highlights the need for innovative problem-solving in healthcare.