Digital Twin Approaches in Quantitative Systems Pharmacology

Originally developed in the manufacturing industry, digital twin concepts have emerged as a transformative tool in quantitative systems pharmacology (QSP). This talk explores how digital twins can estimate population responses in clinical trials and enable personalized treatments, particularly for rare diseases and severe conditions where large-scale trials are impractical. We will compare digital twin methodologies with traditional virtual population algorithms in QSP modeling, highlighting how these approaches integrate patient-specific clinical data, and treatment history to build individualized models. Using a pediatric bone marrow transplant model as an example, we will discuss the challenges of balancing model accuracy with timely utility, emphasizing the importance of actionable predictions within the clinical decision-making window. For more information see: https://ascpt.onlinelibrary.wiley.com/doi/10.1002/psp4.13227 *Contents* 00:00 - Introduction 06:29 - Digital Twin Approaches in Quantitative Systems Pharmacology 53:30 - Questions and Discussion To view the slides in this talk, visit: https://drive.google.com/file/d/1Ac2U0jYivEHpacFU7bnD9ucnRldMdgYj/view?usp=sharing If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/