Circulating lncRNAs as biomarkers for severe dengue using a machine learning approach.

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Title: Circulating lncRNAs as biomarkers for severe dengue using a machine learning approach.
Authors: Katz R; Department of Clinical Microbiology and Immunology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Nam NM; 103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam., de Lima Campos T; Bioinformatics Core Facility, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife PE, Brazil., Indenbaum V; Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Tel Hashomer, Israel., Terenteva S; Faculty of Engineering, The Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat Gan, Israel., Hang DTT; Institute of Biomedicine and Pharmacy, Vietnam Military Medical University, Hanoi, Vietnam., Hoi LT; Hanoi Medical University, Hanoi, Vietnam., Danielli A; Faculty of Engineering, The Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat Gan, Israel., Lustig Y; Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Tel Hashomer, Israel; School of Public Health, School of Medicine, Tel Aviv University, Tel Aviv, Israel., Schwartz E; The Institute of Tropical Medicine, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Tong HV; Institute of Biomedicine and Pharmacy, Vietnam Military Medical University, Hanoi, Vietnam; Department of Pathophysiology, Vietnam Military Medical University, Hanoi, Vietnam., Sklan EH; Department of Clinical Microbiology and Immunology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel. Electronic address: sklan@tauex.tau.ac.il.
Source: The Journal of infection [J Infect] 2025 Apr; Vol. 90 (4), pp. 106471. Date of Electronic Publication: 2025 Mar 14.
Publication Type: Journal Article
Journal Info: Publisher: W.B. Saunders Country of Publication: England NLM ID: 7908424 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2742 (Electronic) Linking ISSN: 01634453 NLM ISO Abbreviation: J Infect Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-2742
DOI:10.1016/j.jinf.2025.106471