Physics-Informed Machine Learning in Biomedical Science and Engineering.

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Bibliographic Details
Title: Physics-Informed Machine Learning in Biomedical Science and Engineering.
Authors: Ahmadi N; Center for Biomedical Engineering, Brown University, Providence, Rhode Island, USA., Cao Q; Division of Applied Mathematics, Brown University, Providence, Rhode Island, USA; email: george_karniadakis@brown.edu., Humphrey JD; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA., Karniadakis GE; Division of Applied Mathematics, Brown University, Providence, Rhode Island, USA; email: george_karniadakis@brown.edu.
Source: Annual review of biomedical engineering [Annu Rev Biomed Eng] 2026 May; Vol. 28 (1), pp. 309-336.
Publication Type: Journal Article; Review
Journal Info: Publisher: Annual Reviews Country of Publication: United States NLM ID: 100883581 Publication Model: Print Cited Medium: Internet ISSN: 1545-4274 (Electronic) Linking ISSN: 15239829 NLM ISO Abbreviation: Annu Rev Biomed Eng Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1545-4274
DOI:10.1146/annurev-bioeng-110824-124907