aceIntegrating 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 ign…
Combining machine learning with multiscale modeling creates robust predictive models that integrate underlying physics to manage ill-posed problems and can provide insights into disease mechanisms and treatment strategies.
Evidence
- Peer-reviewednpj Digital Medicine2019-11-25
- Peer-reviewedInformatics2024-08-07
- Peer-reviewedAI2024-08-29
- Peer-reviewedACM Computing Surveys2021-07-18
- Peer-reviewedThrombosis and Haemostasis2026-02-09
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Truvace Impact Record TRV-2026-0204, v5: “Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.” Truvace, 2026-07-19. /record/TRV-2026-0204 (accessed at citation time). sha256 42dc76745fe5b6d3…
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