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Metabolic detection of early-stage breast cancer through absolute quantitative metabolomics and machine learning

ABSTRACT: To achieve the best outcomes, breast cancer necessitates robust strategies for early detection. However, reliable blood-based tests for identifying early-stage disease remains elusive. Here we have employed plasma metabolomics and machine learning techniques to establish a non-invasive metabolic approach for early detection of breast cancer.

INSTRUMENT(S): Q-Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Songhuajie

PROVIDER: MSV000093325 | MassIVE | Mon Nov 06 23:46:00 GMT 2023

REPOSITORIES: MassIVE

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