Circulating lncRNAs as biomarkers for severe dengue using a machine learning approach
Our findings suggest that this panel of lncRNAs has the potential to predict SD, which could help reduce healthcare burden and improve patient management in endemic countries.
Authors
- Yaniv Lustig (ORCID: https://orcid.org/0000-0001-7949-5912)
- Le Thi Hoi
- Ella H. Sklan (ORCID: https://orcid.org/0000-0002-2148-4783)
- Amos Danielli (ORCID: https://orcid.org/0000-0002-4091-0493)
- Hoang Văn Tong (ORCID: https://orcid.org/0000-0002-7170-8810)
- Hang Thi Thu Dinh (ORCID: https://orcid.org/0000-0002-1681-9569)
- Túlio de Lima Campos (ORCID: https://orcid.org/0000-0003-0446-848X)
- Victoria Indenbaum (ORCID: https://orcid.org/0000-0002-7675-0591)
- Nguyen Minh Nam
- Eli Schwartz
- Rodolfo Katz
- Sophie Terenteva
Institutions
- Bar-Ilan University (IL)
- Tel Aviv University (IL)
- Hanoi Medical University (VN)
- Sheba Medical Center (IL)
- Israel Ministry of Health (IL)
- Vietnam Military Medical University (VN)
- Fundação Oswaldo Cruz (BR)
Publication Details
- Journal
- Journal of Infection
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1016/j.jinf.2025.106471
- Citations
- 4
- Primary Topic
- Viral Infections and Vectors
- Type
- article
- Field-Weighted Citation Impact
- 5.58
Funders
- Tel Aviv University