Predicting Disease Activity Scores in Inflammatory Bowel Disease Using Quantitative Systems Pharmacology

Quantitative Systems Pharmacology (QSP) models are typically used to guide dosing regimens based on the relationship between the drug PK/PD and disease-specific biomarkers. Using elements of AI/ML, our QSP Inflammatory Bowel Disease (IBD) model can predict clinical endpoints enabling clinical trial simulations of untested dosing regimens, combination therapies, and trial designs. In this example, our disease activity score classifier can predict the Crohn's Disease Activity Index (CDAI) and Mayo Score for virtual populations matched to published clinical trials (CODEX). The mechanistic, multistate model simulates the immune cell and cytokine dynamics of the inflammatory immune response in the lamina propria of inflamed, active IBD. Together with our collaborators, the QSP IBD model has guided drug development from target validation to Phase II dosing to reach the right target at the right dose with the right action. Find out more at: https://www.certara.com/app/uploads/2023/04/Certara_LL_Day1_DougChung_Presentation.pdf *Contents* 00:00 - Introduction 05:06 - Predicting Disease Activity Scores in Inflammatory Bowel Disease Using Quantitative Systems Pharmacology 38:58 - Questions and Discussions Moderator: James A. Glazier, PhD, Indiana University, Bloomington 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/