AI in Regulatory Sciences

• Module 1: Introduction to AI and Regulatory Sciences
  Learn the fundamentals of AI and regulatory sciences, explore the concept of the AI-enabled ecosystem for human therapeutics, and examine emerging regulatory approaches for AI technologies.
• Module 2: AI in Drug Discovery
  Understand how AI is reshaping preclinical research and early-stage discovery, including target identification, compound screening, and predictive modeling.
• Module 3: AI in Drug Development
  Explore AI applications in clinical trials, including trial design, patient recruitment, data monitoring, and adaptive trial strategies.
• Module 4: AI in Drug Manufacturing
  Study how AI supports drug manufacturing, from process optimization during development to ongoing quality control and supply chain integration.
• Module 5: AI in Regulatory Enabling Functions
  Delve into how AI supports regulatory operations, pharmacovigilance, compliance, regulatory intelligence, and lifecycle management across the product journey.
• Module 6: Career Pathways in AI and Regulatory Sciences
  Explore emerging roles and skillsets that align with the AI-enabled ecosystem and how you can prepare for opportunities in this evolving field.

Contact for assistance:

• Registration and payment: learnerservices@northeastern.edu
• General inquiries: RegSciAI@Northeastern.edu