This podcast episode discusses the challenges and opportunities of using machine learning and AI in drug discovery. It explores the use of machine learning for target identification, drug development, and clinical trials. The speakers highlight the importance of selecting the right patient population for clinical trials and the need for robust and reproducible biomarker collection methods. They also discuss the complexities of interdisciplinary collaboration between computer scientists and biologists in drug discovery.
