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Targeted Lipidomic Signatures of Rat Plasma and Machine Learning-Based Triage Models after Total-Body Gamma Irradiation.

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Bibliographic Details
Title: Targeted Lipidomic Signatures of Rat Plasma and Machine Learning-Based Triage Models after Total-Body Gamma Irradiation.
Authors: Xi C; China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China., Cai TJ; China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China., Lu X; China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China., Tian XL; China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China., Gao YZ; China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China., Chen Q; Hubei Center for Disease Control and Prevention, Wuhan 430079, Hubei, China., Liu QJ; China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China.
Source: Biomedical and environmental sciences : BES [Biomed Environ Sci] 2025 Dec 20; Vol. 38 (12), pp. 1564-1568.
Publication Type: Letter
Journal Info: Publisher: Chinese Center for Disease Control and Prevention Country of Publication: China NLM ID: 8909524 Publication Model: Print Cited Medium: Internet ISSN: 2214-0190 (Electronic) Linking ISSN: 08953988 NLM ISO Abbreviation: Biomed Environ Sci Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:2214-0190
DOI:10.3967/bes2025.157