Back to search

Article

Integrating Machine Learning with Metabolic Models for Precision Trauma Care: Personalized ENDOTYPE Stratification and Metabolic Target Identification

2025-03-27

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose</bold> : The pipeline developed here, utilizes the metabolic flux characterization of trauma patients as input for a computational framework, amalgamating various machine learning (ML) techniques. This pipeline enables the stratification of trauma patients into ENDOTYPES and pinpoint key metabolic targets associated with patient-specific ENDOTYPES. Previous studies have...

Topics

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

Identifiers and source

Literature Corpus work
c7b1cddf-7dbc-5aeb-9dea-adb51f767a62
DOI
10.21203/rs.3.rs-6258357/v1
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.
Integrating Machine Learning with Metabolic Models for Precision Trauma Care: Personalized ENDOTYPE Stratification and Metabolic Target IdentificationDOI 10.21203/rs.3.rs-6258357/v1
Select a neighboring publication to make it the new centre.