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

@article{Alber2019IntegratingML,
  title={Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences},
  author={Mark S. Alber and Adrian Buganza Tepole and William R. Cannon and Suvranu De and Salvador Dura-Bernal and Krishna C. Garikipati and George Em Karniadakis and William W. Lytton and Paris Perdikaris and Linda Petzold and Ellen Kuhl},
  journal={NPJ Digital Medicine},
  year={2019},
  volume={2}
}
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… 

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