Work

Defining Sepsis Phenotypes—Two Murine Models of Sepsis and Machine Learning

Year: 2022

Type: article

Source: Shock

DOI: 10.1097/shk.0000000000001935

Authors: Allan E. Stolarski, Jiyoun Kim, Jacob Nudel, Sophia Gunn, Daniel G. Remick

Institutions: Boston University, Boston Medical Center

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: G1423955536, Role reversal of MAVS in bacterial sepsis, Role of Clec2d-DAMP interactions in the pathophysiology of tissue injury and sepsis, G625289269

OpenAlex ID: W4283653267

FWCI: 1.221

Cites: 31

Cited by: 9

Related to: 10