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Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality

EBioMedicine(2023)10.1016/j.ebiom.2023.104726Source: DataRank Database

Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality is a research paper published in EBioMedicine (2023). On theSindex it has a DataRank of 0. It has been cited 34 times.

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Open Access34 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: goldTopics (20)IDs (PubMed, PMC)

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Open Access

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Authors (8)

Ali Foroughi pour ORCID,Hany Deirawan,Fayez Daaboul,Thazin Nwe Aung ORCID,Rafic Beydoun ORCID

Live enrichment

PubMed:37499603 PMC:PMC10388166

NCI NIH HHS

Grant: P30 CA034196

NCI NIH HHS

Grant: R01 CA230031

National Institutes of Health

Grant: 5R01CA230031-03

Quantitative Computational Methods to Accurately Measure Tumor Heterogeneity in Solid Tumors to Inform Development of Evolution-based Treatment Strategies

National Institutes of Health

Grant: 3P30CA034196-26S1

Cancer Center Support (CORE) Grant

NIH

goldLicense: CC BY NC ND

Europe_PMChttps://europepmc.org/articles/PMC10388166

Europe_PMChttps://europepmc.org/articles/PMC10388166?pdf=render

https://doi.org/10.1016/j.ebiom.2023.104726

https://doi.org/10.1101/2022.06.13.495227

https://pubmed.ncbi.nlm.nih.gov/37499603

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

Cell NucleusHumansAdenocarcinomaColonic NeoplasmsGenomicsDeep Learning

Keywords

Colorectal CancerOverall SurvivalDigital PathologyDeep LearningMultimodal AnalysisCell NucleusColonic Neoplasms610HumansArticlesGenomicsAdenocarcinoma