Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Hemoglobin signal network mapping reveals novel indicators for precision medicine.

Scientific reports - 25 Oct 2023

Barbour Randall L, Graber Harry L

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers
Share to Breast Neoplasms
Share to Hemoglobins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Precision Medicine

Source

Open in PubMed Open full text

Identifiers

PMID: 37880310
DOI: 10.1038/s41598-023-43694-7
PMCID: PMC10600136

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Hemoglobin signal network mapping reveals novel indicators for precision medicine.PMID 37880310Read ↗

Hemoglobin Signal Network Mapping Reveals Novel Indicators for Precision MedicineSemantic proximity Read ↗

Novel Pipelines to Extract Differences in Proteome Dynamics Based on Health StatusSemantic proximity Read ↗

Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.Semantic proximity Read ↗

A Proteomics-Informed Geometric Framework for Identifiability and Panel Design in Genome-Scale Metabolic NetworksSemantic proximity Read ↗

Dynamically characterizing individual clinical change by the steady state of disease-associated pathway.Semantic proximity Read ↗

Limits and Prospects of Molecular Fingerprinting for Phenotyping Biological Systems Revealed through In Silico Modeling.Semantic proximity Read ↗

A Proteomics-Informed Geometric Framework for Identifiability and Panel Design in Genome-Scale Metabolic NetworksSemantic proximity Read ↗

The value of prior knowledge in machine learning of complex network systemsSemantic proximity Read ↗

Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain statesSemantic proximity Read ↗

Stability of person-specific blood-based infrared molecular fingerprints opens up prospects for health monitoring.Semantic proximity Read ↗

A differential network approach to exploring differences between biological states: an application to prediabetes.Semantic proximity Read ↗

Frailness and resilience of gene networks predicted by detection of co-occurring mutations via a stochastic perturbative approach.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.