C4A - What is the future and impact of artificial intelligence and machine learning (AI/ML) in each SIGs

Wednesday, November 13, 2024

9:00 AM – 10:30 AM MST

Location: Canyon Ballroom

Chair(s)

Luke Fostvedt, PhD

Director, Pharmacometrics & Systems Pharmacology
Pfizer, Inc.
tempe, Arizona, United States
Limei Cheng, PhD (she/her/hers)

Sr Director, QSP Lead
Incyte Corporation
Wilmington, Delaware, United States

Speaker(s)

Hao Zhu, PhD

ISoP Board Member
ISoP, Maryland, United States

PDF Slides
Ioannis (Yannis) Androulakis, PhD

Professor
Rutgers University

PDF Slides
Hao-Jie Zhu, PhD

Professor
University of Michigan College of Pharmacy

PDF Slides

Panelist(s)

Lourdes Cucurull-Sanchez, PhD MPhil (she/her/hers)

Platform Scientific Lead
Pharmetheus
Yuan Xiong, PhD

Director
Johnson & Johnson
NT

Neelima Thanneer, MS

Executive Director, Head of Data Science and Clin Pharm Analysis & Reporting
BMS, United States
Jiawei Zhou, PhD (she/her/hers)

Manager, Pharmacometrics & Systems Pharmacology
Pfizer, Inc.
Greenville, South Carolina, United States

Disclosure(s):

Luke Fostvedt, PhD: Pfizer Inc: Employment (Ongoing)

Jiawei Zhou, PhD: No financial relationships to disclose

Hao Zhu, PhD: No financial relationships to disclose

Ioannis (Yannis) Androulakis, PhD: No financial relationships to disclose

Hao-Jie Zhu, PhD: No financial relationships to disclose

Lourdes Cucurull-Sanchez, PhD MPhil: GSK: Employment (Ongoing), Ownership Interest (stocks, stock options, patent or other intellectual property or other ownership interest excluding diversified mutual funds) (Ongoing)

Yuan Xiong, PhD: No financial relationships to disclose

Neelima Thanneer, MS: No financial relationships to disclose

Limei Cheng, PhD: Incyte Corporation: Employment (Ongoing)

Presentations:

9:00 AM – 9:20 AM MST

Use of AI/ML to Support New Drug Development and Enhance Patient Care
Speaker: Hao Zhu, PhD – ISoP
9:20 AM – 9:40 AM MST

QSP in the era of ML
Speaker: Ioannis (Yannis) Androulakis, PhD – Rutgers University
9:40 AM – 10:00 AM MST

Using machine learning and multiomics to predict the pharmacokinetics of immunosuppressants and clinical outcomes in renal transplant patients
Speaker: Hao-Jie Zhu, PhD – University of Michigan College of Pharmacy
10:00 AM – 10:30 AM MST

Panel Discussion
Panelist: Hao Zhu, PhD – ISoP
Panelist: Hao-Jie Zhu, PhD – University of Michigan College of Pharmacy
Panelist: Lourdes Cucurull-Sanchez, PhD MPhil (she/her/hers) – Pharmetheus
Panelist: Yuan Xiong, PhD – Johnson & Johnson
Panelist: Neelima Thanneer, MS – BMS
Panelist: Jiawei Zhou, PhD (she/her/hers) – Pfizer, Inc.