Hemoglobin signal network mapping reveals novel indicators for precision medicine.

ABSTRACT: Precision medicine currently relies on a mix of deep phenotyping strategies to guide more individualized healthcare. Despite being widely available and information-rich, physiological time-series measures are often overlooked as a resource to extend insights gained from such measures. Here we have explored resting-state hemoglobin measures applied to intact whole breasts for two subject groups - women with confirmed breast cancer and control subjects - with the goal of achieving a more detailed assessment of the cancer phenotype from a non-invasive measure. Invoked is a novel ordinal partition network method applied to multivariate measures that generates a Markov chain, thereby providing access to quantitative descriptions of short-term dynamics in the form of several classes of adjacency

SUBMITTER: Barbour RL 

PROVIDER: S-EPMC10600136 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature