Watch this webinar, “Combining Mechanistic Modeling with Machine Learning to Predict Clinical Scores in Inflammatory Bowel Disease (IBD),” to explore the critical role of QSP modeling in drug development. Learn how integrating mechanistic modeling with machine learning can improve decision-making, enhance predictive accuracy, and drive R&D efficiency.
Key takeaways:
- Latest Trends in Quantitative Systems Pharmacology (QSP): Explore the evolving role of QSP modeling in drug discovery and how it transforms complex data into actionable insights.
- Virtual Patient Technology: Understand how advanced simulations are reshaping clinical trial design and reducing development risks.
- Machine Learning’s Power in Clinical Scoring: Learn how predictive analytics optimize treatment paths and improve patient outcomes.
- Impact on Decision-Making: Examine how these methodologies drive better, faster, and data-informed decisions in drug development for IBD and beyond.
This webinar is ideal for
- 位 QSP 科学家
- Clinical Pharmacologists
- Translational Scientists
- R&D Professionals
- Regulatory Affairs Specialists
演讲嘉宾：
- Piet van der Graaf, PharmD, PhD
Senior Vice President and Head of Quantitative Systems Pharmacology - Douglas W. Chung, BS, MS
Sr Director, QSP - Dr. Britta Wagenhuber (b. Göbel)
Head of QSP Germany, Sanofi - Dr. Markus Rehberg
Associate Director of QSP, Sanofi
Empower your team with cutting-edge approaches that improve efficiency, accuracy, and patient outcomes. Register now to gain on-demand access to this insightful session and stay ahead in the evolving landscape of drug development.
