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Translational Informatics (TI)

Empowering Clinical Pharmacologists and Translational Scientists Using Artificial Intelligence: Unlocking Potential with Cutting-Edge Use Cases co-sponsored by the International Society of Pharmacometrics and the IQ Consortium AI/ML Working Group

Tuesday, March 26, 2024
8:30 AM – 5:30 PM MDT

Session Description

For many years, clinical pharmacologists have been using mathematical models to represent physiological processes and explore the relationships between drugs and changes in PK/PD over time. The rapid advancements in imaging, diagnostics, computing, and communication technologies have created a vast data landscape that clinical pharmacologists now need to navigate.

While various Artificial Intelligence (AI) techniques have proven to be powerful computational approaches in other datarich fields, their application in clinical pharmacology is still in its early stages. Implementing AI in clinical pharmacology and translational science holds the potential to develop more effective therapies and address patients’ unmet clinical needs more efficiently and quickly. Demonstrating successful case studies and best practices of AI use by clinical pharmacologists and translational scientists is crucial for broader adoption in these fields, both regionally and globally.

This Pre-Conference will showcase different aspects of AI used in clinical pharmacology and translational science, including cutting-edge AI tools, commonly used data sources, and successful case studies and applications. We will feature interdisciplinary teams presenting how AI has improved prediction models in both clinical settings and drug development. Additionally, this Pre-Conference will explore the potential opportunities of using large language models like ChatGPT and other medical foundational models to establish a better paradigm for incorporating AI in clinical pharmacology and drug development.

Learning Objectives

1. Upon completion, participants will gain insights into the various AI-driven applications in drug development, dosing optimization, translational science, biomarker discovery, and disease modeling.
2. Upon completion, participants will learn about potential applications of large language models in clinical pharmacology and translational sciences, including literature mining, hypothesis generation, and enhancing communications between stakeholders.
3. Upon completion, participants will understand the regional and international disparities that limit the wide adoption of AI in clinical pharmacology and translational science and potential solutions to promote global applications in these fields.

Session Schedule

8:30 AM–8:50 AM MT
Opening and Survey Results
Mohamed Shahin, PhD, MS

8:50 AM–9:10 AM MT
Machine Learning to Decode Single Neuron Response
Yuanfang Guan, PhD

9:10 AM–9:30 AM MT
Application of AI/ML to Inform Early-to-Late-Stage Clinical Development Lifecycle of Therapeutics
Subha Madhavan, PhD

9:30 AM–9:50 AM MT
Application of AI/ML in Drug Development and Regulation
Qi Liu, PhD

9:50 AM–10:30 AM MT
Panel Discussion
C.J. Musante, PhD

10:30 AM–10:45 AM MT
Break

10:45 AM–12:00 PM MT
Part A: AI-Driven Applications in Clinical Pharmacology and Translational Science
James Lu, PhD, Jagdeep Podichetty, PhD, Jie Shen, PhD, Lei Xie, PhD, and Sebastian Lobentanzer, PhD

12:00 PM–1:00 PM MT
Lunch and Posters
All

1:00 PM–2:15 PM MT
Part B: AI-Driven Applications in Clinical Pharmacology and Translational Science
Prashant Desai, PhD, Wei Gao, PhD, Matthew Wiens, MA, and Flora Musuamba Tshinanu, PhD

2:15 PM–2:30 PM MT
Break

2:30 PM–3:45 PM MT
Large Language Models (LLMs) and Their Application in Clinical Pharmacology and Translational Medicine – Hands-on Tutorial
Gary Mo, PhD, James Lu, PhD, Keunwoo Choi, PhD, Joga Gobburu, PhD, and Sirj Goswami, PhD

3:45 PM-4:00 PM MT
The Right Dose at the Right Time: AI for Safe and Effective Pediatric Drug Use
Saskia N. de Wildt, MD, PhD - Challenge Winner

4:00 PM–4:30 PM MT
Panel Discussion

4:30 PM–4:35 PM MT
Wrap Up
Mohamed Shahin, PhD, MS

4:35 PM–5:30 PM MT
Posters and Refreshment
All

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This event is sponsored by an ASCPT Partner organization. ASCPT partners were not involved in the development or content of this program.