MACHINE LEARNING MODELS FOR PREDICTING ACUTE KIDNEY INJURY IN PATIENTS WITH SEPSIS-ASSOCIATED ACUTE RESPIRATORY DISTRESS SYNDROME
2023 · Shock · 30 citations
https://doi.org/10.1097/shk.0000000000002065
J
Jinhua Feng
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18
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197
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8
h-index
8
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Jinhua Feng is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Respiratory Support and Mechanisms & Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis & Neonatal Respiratory Health Research. The author has an h-index of 8, co-authored 16 publications.
Papers by this author
worksDevelopment and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study
2024 · EClinicalMedicine · 18 citations
https://doi.org/10.1016/j.eclinm.2024.102772
PGC-1α mediates migrasome secretion accelerating macrophage–myofibroblast transition and contributing to sepsis-associated pulmonary fibrosis
2025 · Experimental & Molecular Medicine · 11 citations
https://doi.org/10.1038/s12276-025-01426-z
Worldwide productivity and research trend of publications concerning extracellular vesicles role in fibrosis: A bibliometric study from 2013 to 2022
2024 · Heliyon · 3 citations
https://doi.org/10.1016/j.heliyon.2024.e24357
Lipopolysaccharide-induced histone lactylation mediates m6A RNA modification causing mitochondrial dysfunction and pulmonary fibroblasts activation to exacerbate sepsis-associated pulmonary fibrosis
2025 · Respiratory Research · 1 citations
https://doi.org/10.1186/s12931-025-03422-3
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