Precision medicine and machine learning to predict critical disease and death due to Coronavirus disease 2019 (COVID-19).

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Bibliographic Details
Title: Precision medicine and machine learning to predict critical disease and death due to Coronavirus disease 2019 (COVID-19).
Authors: Júnior WLDT; Infectious Diseases Unit, Department of Clinical Medicine, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil. Electronic address: drwaltontedesco@gmail.com., Danelli T; Infectious Diseases Unit, Department of Clinical Medicine, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil. Electronic address: tiago.danelli2019@uel.br., Tano ZN; Infectious Diseases Unit, Department of Clinical Medicine, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil. Electronic address: zntanno@terra.com.br., Cassela PLCS; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil. Electronic address: pedro.luis.candido@uel.br., Trigo GL; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil. Electronic address: guilherme.lerner@uel.br., Cardoso KM; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil. Electronic address: kaue.moraiscardoso@uel.br., Loni LP; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil. Electronic address: livia.padovam.loni@uel.br., Ahrens TM; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil. Electronic address: tainah.m.ahrens@uel.br., Espinosa BR; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil. Electronic address: beatriz.rabello@uel.br., Fernandes AJ; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil. Electronic address: alvaro.fernandesmd@uel.br., Almeida ERD; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil; Department of Pathology, Clinical Analysis and Toxicology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil. Electronic address: elainedelicato@uel.br., Lozovoy MAB; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil; Department of Pathology, Clinical Analysis and Toxicology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil. Electronic address: lozovoy@uel.br., Reiche EMV; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil; Pontifical Catholic University of Paraná, School of Medicine, Campus Londrina, Londrina, Paraná, Brazil. Electronic address: reiche@sercomtel.com.br., Maes M; Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China. Electronic address: dr.michaelmaes@hotmail.com., Simão ANC; Laboratory of Research in Applied Immunology, University Hospital of Londrina, University of Londrina, Londrina, Paraná, Brazil; Department of Pathology, Clinical Analysis and Toxicology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil. Electronic address: deianame@uel.br.
Source: Human immunology [Hum Immunol] 2025 Jul; Vol. 86 (4), pp. 111337. Date of Electronic Publication: 2025 Jun 16.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier/North-Holland Country of Publication: United States NLM ID: 8010936 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1166 (Electronic) Linking ISSN: 01988859 NLM ISO Abbreviation: Hum Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1166
DOI:10.1016/j.humimm.2025.111337