Back to search

Article

Population scale proteomics enables adaptive digital twin modelling in sepsis

2024-03-22

Abstract excerpt

Sepsis is one of the leading causes of mortality in the world. Currently, the heterogeneity of sepsis makes it challenging to determine the molecular mechanisms that define the syndrome. Here, we leverage population scale proteomics to analyze a well-defined cohort of 1364 blood samples taken at time-of-admission to the emergency department from patients suspected of sepsis. We identified panels of proteins using...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
efe21f37-8fe1-599f-aa9a-a1046f56b172
DOI
10.1101/2024.03.20.24304575
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Population scale proteomics enables adaptive digital twin modelling in sepsisDOI 10.1101/2024.03.20.24304575
Select a neighboring publication to make it the new centre.