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Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

JCO Clinical Cancer Informatics(2024)10.1200/cci.23.00207Source: DataRank Database

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data is a research paper published in JCO Clinical Cancer Informatics (2024). On theSindex it has a DataRank of 0. It has been cited 25 times.

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Open Access25 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: hybridTopics (22)IDs (PubMed, PMC)

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Open Access

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Authors (22)

Kathleen F. Mittendorf ORCID,Zoltán Kiss ORCID,Michele L. Lenoue-Newton ORCID,Pablo Napan-Molina,Protiva Rahman ORCID

Live enrichment

PubMed:38427922 PMC:PMC10919473

NCATS NIH HHS

Grant: UL1 TR000445

National Institutes of Health

Grant: 6UL1TR000445-11

The Vanderbilt Institute for Clinical and Translational Research (VICTR)

hybridLicense: cc-by-nc-nd

publisherhttps://doi.org/10.1200/cci.23.00207

publisherhttps://ascopubs.org/doi/pdfdirect/10.1200/CCI.23.00207

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10919473/pdf/cci-8-e2300207.pdf

Europe_PMChttps://europepmc.org/articles/PMC10919473

Europe_PMChttps://europepmc.org/articles/PMC10919473?pdf=render

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansColitisHepatitisPneumoniaMiddle AgedAmbulatory Care FacilitiesFemaleMaleImmune Checkpoint Inhibitors

Keywords

MaleHumansFemaleORIGINAL REPORTSPneumoniaMiddle AgedColitisImmune Checkpoint InhibitorsAmbulatory Care FacilitiesHepatitis