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Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations

Nature Medicine(2025)10.1038/s41591-024-03352-5Source: DataRank Database

Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations is a research paper published in Nature Medicine (2025). On theSindex it has a DataRank of 0. It has been cited 39 times.

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Open Access39 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: hybridTopics (23)IDs (PubMed, PMC)Annotations (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Kan Chen ORCID,Ronac Mamtani ORCID,Qi Long ORCID,Ravi B. Parikh ORCID,Xavier Orcutt

Live enrichment

PubMed:39753967 PMC:PMC11835724

NCI NIH HHS

Grant: P30 CA016520

NCI NIH HHS

Grant: K08 CA263541

NCI NIH HHS

Grant: U01 CA274576

National Institutes of Health

Grant: 5K08CA263541-04

Human-Machine Collaborations to Improve Prognosis and Clinical Decision-Making in Advanced Cancer

National Institutes of Health

Grant: 5U01CA274576-02

Robust privacy preserving distributed analysis platform for cancer research: addressing data bias and disparities

National Institutes of Health

Grant: 2P30CA016520-35

Abramson Cancer Center Support Grant

hybridLicense: CC BY

publisherhttps://www.nature.com/articles/s41591-024-03352-5.pdf

publisherhttps://www.nature.com/articles/s41591-024-03352-5

Europe_PMChttps://europepmc.org/articles/PMC11835724

Europe_PMChttps://europepmc.org/articles/PMC11835724?pdf=render

https://doi.org/10.1038/s41591-024-03352-5

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansNeoplasmsAntineoplastic AgentsPrognosisMedical OncologyFemaleMaleRandomized Controlled Trials as TopicElectronic Health RecordsMachine Learning

Keywords

Machine LearningMaleNeoplasmsHumansElectronic Health RecordsFemaleAntineoplastic AgentsPrognosisMedical OncologyArticleRandomized Controlled Trials as Topic