Machine Learning-Driven Phenogrouping and Cardiorespiratory Fitness Response in Metastatic Breast Cancer.

Robert T NovoSamantha M ThomasMichel G KhouriFawaz AleneziElisabeth EdvardsenMeghan MichalskiKereshmeh CollinsTormod Skogstad NilsenElisabeth EdvardsenLee W Jones Jessica M Scott

Published in: JCO clinical cancer informatics (2024)

Phenotypic clustering identified two subgroups with unique baseline characteristics and CRF outcomes. The identification of CRF phenogroups could help improve cardiovascular risk stratification and guide investigation of targeted exercise interventions among patients with cancer.

Keyphrases

metastatic breast cancer
machine learning
physical activity
high intensity
cancer therapy
single cell
artificial intelligence
big data
rna seq
resistance training
bioinformatics analysis
type diabetes
metabolic syndrome
adipose tissue
skeletal muscle
weight loss