Development and validation of a machine-learning-based model for identification of genes associated with sepsis-associated acute kidney injury

BackgroundSepsis frequently induces acute kidney injury (AKI), and the complex interplay between these two conditions worsens prognosis, prolongs hospitalization, and increases mortality. Despite therapeutic options such as antibiotics and supportive care, early diagnosis and treatment remain a chal...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Chen Lin, Meng Zheng, Wensi Wu, Zhishan Wang, Guofeng Lu, Shaodan Feng, Xinlan Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-07-01
Colecção:	Frontiers in Genetics
Assuntos:	sepsis acute kidney injury machine learning diagnostic modeling immune infiltration
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fgene.2025.1561331/full
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!