Keynote: Accelerating Formulation Development via Machine Learning and Automation

Monday, October 21, 2024

1:30 PM – 2:30 PM MT

Location:155 B

Keynote Speaker(s)

Christine Allen, PhD (she/her/hers)

Professor
University of Toronto
Toronto, Ontario, Canada

Moderator(s)

Sanjaykumar Patel (he/him/his)

Sr. Principal Scientist
Merck & Co., Inc.
Rahway, New Jersey

In recent years, pharmaceutical R&D expenditures have surged, yet clinical success rates stagnate at around 10% due to efficacy and safety issues. This presentation will explore how integrating AI and robotics can transform drug formulation, expediting the identification of optimal formulations. We will present our latest data demonstrating the time and cost savings achievable through these technologies, with a goal towards ultimately developing safer, more effective, and patient-centered drug products.

Learning Objectives:

Explore the use of AI/ML in drug development.
Understand the current state of AI and automation in drug formulation development.
Explore the challenges and limitations associated with various AI/ML approaches in drug formulation development.
Discuss recommendations to support responsible adoption of these advanced technologies to enhance drug formulation development.