Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness

Atreya, Mihir R.; Banerjee, Shayantan; Lautz, Andrew J.; Alder, Matthew N.; Varisco, Brian M.; Wong, Hector R.; Muszynski, Jennifer A.; Hall, Mark W.; Sanchez-Pinto, L. Nelson; Kamaleswaran, Rishikesan; Cvijanovich, Natalie Z.; Fitzgerald, Julie C.; Weiss, Scott L.; Bigham, Michael T.; Jain, Parag N.; Schwarz, Adam J.; Lutfi, Riad; Nowak, Jeffrey; Allen, Geoffrey L.; Thomas, Neal J.; Grunwell, Jocelyn R.; Baines, Torrey; Quasney, Michael; Haileselassie, Bereketeab; Lindsell, Chris J.

doi:10.1016/j.ebiom.2023.104938

eBioMedicine

2024

DOI: 10.1016/j.ebiom.2023.104938

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Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness

Mihir R. Atreya,

Shayantan Banerjee,

Andrew J. Lautz

et al.

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Cited by 6 publications

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Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness

Cited by 6 publications

References 38 publications

Inhibition of Golgi stress alleviates sepsis-induced cardiomyopathy by reducing inflammation and apoptosis

Inhibition of Golgi stress alleviates sepsis-induced cardiomyopathy by reducing inflammation and apoptosis

A focus on c-Jun-N-terminal kinase signaling in sepsis-associated multiple organ dysfunction: Mechanisms and therapeutic strategies

Naringin: A flavanone with a multifaceted target against sepsis-associated organ injuries

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