RABE 130

AI and Machine Learning in Drug Development

This course explores the transformative impact of artificial intelligence (AI) and machine learning (ML) on the drug development process. Students will learn about AI-driven approaches to target identification, drug screening, and clinical trial optimization. Key topics include predictive modeling, data integration, and regulatory considerations for AI applications in healthcare. Industry case studies will showcase successful AI applications and challenges in drug development. This course equips students with the technical understanding needed to apply AI tools effectively in biotech enterprises with an understanding of how it enhances decision-making and innovation in product development.