Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

Fueled by breakthrough technology developments, the biological, biomedical, and behavioral sciences are now collecting more data than ever before. There is a critical need for time- and cost-efficient strategies to analyze and interpret these data to advance human health. The recent rise of machine learning as a powerful technique to integrate multimodality, multifidelity data, and reveal correlations between intertwined phenomena presents a special opportunity in this regard. However, machine learning alone ignores the fundamental laws of physics and can result in ill-posed problems or non-physical solutions. Multiscale modeling is a successful strategy to integrate multiscale, multiphysics data and uncover…

• NI
  National Institutes of Health

  Awards: R01 EB014877, HL119578, HL116323, EB017695, U01 HL119578, U01 EB017695, U01 EB022546, U01 HL116323, U01 HL142518
• NI
  National Institute of Biomedical Imaging and Bioengineering

  Awards: U01 EB017695, EB022546, U01 HL119578