Modeling & AI in Generic Drug Development: Reg Insights & Future Trends

Artificial Intelligence (AI) is rapidly transforming drug development and regulatory processes across the pharmaceutical industry. This workshop explores cutting-edge applications of modeling and AI throughout the drug development lifecycle, with particular emphasis on complex generics. Through presentations, panel discussions, and interactive sessions, attendees will examine how AI is being integrated into regulatory frameworks to streamline workflows, accelerate development timelines, and advance quantitative medicine approaches.

Key areas of focus include:

• Regulatory Perspectives: Current thinking from FDA, EMA, and other global regulatory bodies on AI integration in drug development and assessment processes
• AI-Driven Workflow Optimization: How AI enhances efficiency in regulatory writing, product development, and modeling workflows
• AI in Drug Development: Exploration of AI’s role in transforming drug development processes, including predictive modeling for drug substance development, formulation optimization, and process optimization
• AI and Quantitative Medicine: Discussion on how AI/ML approaches are extending quantitative medicine approaches, from pharmacometrics and systems pharmacology to translational modeling and digital twins

Join us for an immersive two-day experience featuring presentations from leading experts in regulatory agencies, pharmaceutical industry, and academia. All attendees will benefit from insights shared by a diverse group of speakers, including FDA officials, international regulatory experts, industry leaders, and renowned academics. This workshop offers a unique opportunity to:

• Understand the latest regulatory thinking on AI integration in drug development
• Learn about cutting-edge AI applications in the pharmaceutical industry
• Network with peers and experts in the field
• Gain practical insights into implementing AI solutions
• Explore the future of AI in drug development and regulatory science

Registration Fees:

• This workshop is FREE for virtual attendees.

• The combined cost for both days of in-person attendance and activities is:

• $350, in-person attendees – general
• $150, in-person attendees – government (must have an email ending in “.gov” in order to register at this rate)

For in-person attendees, beverages and food for breaks will be provided; lunch is not included. A link will be provided closer to the event for ordering lunch each day.

For faculty and students from the University of Maryland, Baltimore; The Universities at Shady Grove; and University of Michigan, the workshop is free for in-person attendance. Other students, please email us for a reduced rate. Please contact us at ([email protected]) and indicate which workshop you are interested in.

Info: Format: Presentations and a Panel Discussion with Q&A (Virtual and In-Person Attendees)

This session underscores the critical importance of understanding global regulatory frameworks to responsibly harness AI in Generic Drug Development and Product Lifecycle Management. By exploring the evolving standards, policies, and opportunities for AI integration, this session will highlight how regulatory landscape shapes the safe, effective, and innovative application of AI in advancing pharmaceutical innovation.

Info: Format: Presentations and a Panel Discussion with Q&A (Virtual and In-Person Attendees)

AI technologies complement experts, helping them work more efficiently, consistently, and insightfully. This session will focus on the use of AI for streamlining workflows, which include, but not limited to, assist with regulatory submission document preparation or assessment, and product development. In addition, this session will also focus on current practices in this area with real-world examples in which AI is being used to advance workflows relevant to accelerating generic drug development.

Info: Format: Interactive Breakout Sessions (In-Person Only)

In this collaborative session, in-person attendees will participate in focused discussions on mock case examples on the use of AI in drug development and regulatory processes. Guided by experienced moderators, participants will engage in in-depth discussions through immersive round-table conversations, introductory presentations, and well-designed Q&A sessions.

Info: Format: Presentations and a Panel Discussion with Q&A (Virtual and In-Person Attendees)

AI is becoming increasingly integral to the future of generic drug development. This session will explore how AI offers innovative solutions in transforming the generic drug development process by enhancing efficiency to improve the quality of generic medicines. The session will delve into practical applications of AI within the generic drug domain, including predictive modeling for drug substance development, formulation optimization, streamlining regulatory pathways, process optimization and scale-up.

Info: Format: Presentations and a Panel Discussion with Q&A (Virtual and In-Person Attendees)

Quantitative medicine has been critical for better decision making in reducing uncertainty and increase precision across the product lifecycle. Given the fact that AI/ML approaches are becoming an indispensable extension of quantitative medicine—augmenting our ability to analyze massive, complex datasets, and enable faster model development, this session will explore how AI is unlocking new possibilities for quantitative medicine for generic drug development and product lifecycle management.

Info: Format: Interactive Breakout Sessions (In-Person Only)

In this collaborative session, in-person attendees will participate in focused mock case discussions on the development and evaluation of quantitative medicine models built by AI tools. Guided by experienced moderators, participants will engage in in-depth discussions through immersive introductory presentations and well-designed Q&A sessions.

Event Venue & Nearby Stays

The Universities at Shady Grove, 9630 Gudelsky Drive, Rockville, United States