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280P Machine learning for multi-omics risk prediction of cholangiocarcinoma in the general population

ESMO Real World Data and Digital Oncology(2025)10.1016/j.esmorw.2025.100476Source: DataRank Database

280P Machine learning for multi-omics risk prediction of cholangiocarcinoma in the general population is a research paper published in ESMO Real World Data and Digital Oncology (2025). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)Impact (FWCI 0.00)OA: goldTopics (9)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (17)

Jan Clusmann ORCID,P-H. Koop,Richardria Goodson,Tobias Seibel ORCID,Niharika Jakhar

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4416781050

National Institutes of Health

Grant: 2UL1TR001425-05A1