IQ Machine Intelligence for Quantitative Modeling in Drug Discovery & Development Applications Workshop
In September 2022, the IQ Clinical Pharmacology Leadership Group's Artificial Intelligence and Machine Learning (AI/ML) Working Group held a 2-day workshop on Machine Intelligence for Quantitative Modeling in Drug Discovery & Development Applications.
While there is significant interest from both industry & regulatory agencies in applying Artificial Intelligence (AI) and Machine Learning (ML) to quantitative modeling for drug development applications, several challenges remain: these include the generalizability, interpretability, and data requirement of such models. To help address these issues, within the IQ Consortium the AI/ML Working Group was formed with the aim to foster scientific dialogue on AI/ML applications and identify a set of good practices, so as to enable broader impacts in drug development. With this IQ Workshop, we aim to bring together experts from industry, academia, and the FDA to initiate a scientific dialogue and collaboration across disciplines to elevate the impact of ML.
Meet the speakers via their biographies, listen to the speakers' talks, and view their presentations below.
Recordings with time stamps
Session 1: AI/ML-ENABLED ANALYTICS & PHARMACOMETRICS WORKFLOWS
Session 2: EXPLAINABLE ML FOR DISEASE PROGRESSION/DIGITAL TWINS
Session 3: NLP IN QUANTITATIVE PHARMACOLOGY MODELING
Session 4: AI/ML UTILIZATION IN DRUG DISCOVERY