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Electronic health records to test multimorbidity influences to plasma biomarker interpretation for Alzheimer’s disease

medRxiv(2025)10.1101/2025.08.16.25333799Source: DataRank Database

Electronic health records to test multimorbidity influences to plasma biomarker interpretation for Alzheimer’s disease is a research paper published in medRxiv (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (28)IDs (PubMed, OpenAlex)

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Authors (13)

Rory Boyle ORCID,Colleen Morse,Anurag Verma ORCID,Christopher Brown ORCID,Kyra O’Brien ORCID

Live enrichment

PubMed:40894158 OpenAlex:https://openalex.org/W4413329227

NIA NIH HHS

Grant: P01 AG066597

NIA NIH HHS

Grant: P30 AG073105

NIA NIH HHS

Grant: P30 AG072979

NIA NIH HHS

Grant: R01 AG087258

NCATS NIH HHS

Grant: UL1 TR001878

greenLicense: cc-by

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2025/08/19/2025.08.16.25333799.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.08.16.25333799

repositoryhttps://doi.org/10.1101/2025.08.16.25333799

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40894158

Fields of Study

Machine Learning in HealthcareChronic Disease Management StrategiesArtificial Intelligence in Healthcare

Keywords

BiomarkerInterpretation (philosophy)Health recordsDiseaseMultimorbidityTest (biology)MedicineElectronic health recordPsychologyGerontologyInternal medicinePolitical scienceHealth carePhilosophyBiologyLinguisticsGeneticsPaleontologyAlzheimer’s diseaseAβ42/Aβ40eGFRkidney dysfunctionp-tau217p-tau217/Aβ42plasma biomarkers