Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems (2019 ML-MSM)

--Meeting Information

poster of Integrating Machine Learning event

Background Information - Pre-Meeting Webinars, Perspective Paper, Interactive agenda

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

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