Session Details
[SS09]Enhancing Drug Development and Patient Care through Model Informed Drug Development
Tue. Jul 8, 2025 3:00 PM - 4:40 PM JST
Tue. Jul 8, 2025 6:00 AM - 7:40 AM UTC
Tue. Jul 8, 2025 6:00 AM - 7:40 AM UTC
Room 01
Chair:So Miyoshi(Pfizer R&D Japan, Japan), Shingo Iwami(Nagoya University, Japan)
Mathematical modeling and simulation (M&S) have become essential in advancing the discovery and clinical development of new drugs. Recent progress in the science and technology of M&S has enabled precise modeling of relationships among pharmacokinetics (PK), pharmacodynamics (PD), mechanisms of action, physiological processes, and disease progression, allowing for accurate predictions of clinical responses and true endpoints. This approach, known as Model-Informed Drug Development (MIDD), serves as a key driver for optimizing clinical study design, improving success rates of clinical studies, and accelerating the drug development process. M&S is also instrumental in precision dosing, supporting the implementation of personalized medicine in clinical settings.
In this session, we will focus on PK/PD modeling, Quantitative Systems Pharmacology (QSP), Physiologically-Based Pharmacokinetic (PBPK) modeling and disease progression modeling, all of which are key mathematical approaches within M&S that provide precise descriptions of biological systems and disease processes. We will discuss how these quantitative methods enhance drug development and healthcare, as well as how to advance current modeling methodologies.
Furthermore, we aim to foster collaboration between pharmaceutical researchers and academic experts in mathematical biology and applied mathematics, encouraging mutual understanding of research objectives and exploring ways to bring new hope to patients and families awaiting innovative treatments.
In this session, we will focus on PK/PD modeling, Quantitative Systems Pharmacology (QSP), Physiologically-Based Pharmacokinetic (PBPK) modeling and disease progression modeling, all of which are key mathematical approaches within M&S that provide precise descriptions of biological systems and disease processes. We will discuss how these quantitative methods enhance drug development and healthcare, as well as how to advance current modeling methodologies.
Furthermore, we aim to foster collaboration between pharmaceutical researchers and academic experts in mathematical biology and applied mathematics, encouraging mutual understanding of research objectives and exploring ways to bring new hope to patients and families awaiting innovative treatments.
[SS09-01]A Century of MIDD and Future Perspectives of QSP
*Shinichi Tsuchiwata1 (1. Pfizer R&D Japan (Japan))
[SS09-02]Clinical Trial Simulation with Quantitative Systems Pharmacology Virtual Patients Model
*Ryuta Saito1 (1. Mitsubishi Tanabe Pharma Corporation (Japan))
[SS09-03]QSP modeling platform for ADCs: a virtual population pipeline for ADC portfolio comparison
*Pei Luo1, Katie Link2, Bruna Scheuher2, Mary E. Spilker2, Mike G. Zager2, Blerta Shtylla2 (1. Pfizer Development China (China), 2. Pfizer Research & Development (United States of America))
[SS09-04]Bayesian exposure-response analyses to justify the clinical dose of valemetostat for adult T-cell leukemia/lymphoma
*Masato Fukae1 (1. Daiichi Sankyo Co., Ltd. (Japan))