Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems (2019 ML-MSM)
Participate in Pre-Meeting activities:Background Information - Pre-Meeting Webinars 10/1-10/11
Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems
co-chairs: Ellen Kuhl, Suvranu De
Goals: this meeting focuses on integrating machine learning methods with multiscale modeling methods guided by the fundamental principles of mathematics and physics.
Objectives: to identify the perspectives, challenges, and opportunities of integrating machine learning with multiscale modeling (ML-MSM) in biomedical, biological, and behavioral systems.
•Four methodologies for ML-MSM modeling: ordinary differential equation (ODE), partial differential equation (PDE), theory-driven, and purely data-driven approaches
•Two application contexts: Digital Twins and Human Safety
2019 ML-MSM Meeting, October 24-25, 2019, Bethesda, Maryland (NIH Campus)
October 1, 2019 - Last day to register online