BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

212 related articles for article (PubMed ID: 36602707)

  • 1. A review of research on eligibility criteria for clinical trials.
    Su Q; Cheng G; Huang J
    Clin Exp Med; 2023 Oct; 23(6):1867-1879. PubMed ID: 36602707
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.
    Meystre SM; Heider PM; Cates A; Bastian G; Pittman T; Gentilin S; Kelechi TJ
    BMC Med Res Methodol; 2023 Apr; 23(1):88. PubMed ID: 37041475
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center.
    Beck JT; Rammage M; Jackson GP; Preininger AM; Dankwa-Mullan I; Roebuck MC; Torres A; Holtzen H; Coverdill SE; Williamson MP; Chau Q; Rhee K; Vinegra M
    JCO Clin Cancer Inform; 2020 Jan; 4():50-59. PubMed ID: 31977254
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semantic query generation from eligibility criteria in clinical trials.
    Patel CO; Cimino JJ
    AMIA Annu Symp Proc; 2007 Oct; ():1070. PubMed ID: 18694168
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.
    Ni Y; Kennebeck S; Dexheimer JW; McAneney CM; Tang H; Lingren T; Li Q; Zhai H; Solti I
    J Am Med Inform Assoc; 2015 Jan; 22(1):166-78. PubMed ID: 25030032
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing.
    Kim J; Izower M; Quintana Y
    AMIA Annu Symp Proc; 2022; 2022():616-624. PubMed ID: 37128426
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Artificial intelligence based Chinese clinical trials eligibility criteria classification].
    Zong H; Zhang Z; Yang J; Lei J; Li Z; Hao T; Zhang X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Feb; 38(1):105-110. PubMed ID: 33899434
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.
    Zhang K; Demner-Fushman D
    J Am Med Inform Assoc; 2017 Jul; 24(4):781-787. PubMed ID: 28339690
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Development of an artificial intelligence system to improve cancer clinical trial eligibility screening].
    Gédor M; Desandes E; Chesnel M; Merlin JL; Marchal F; Lambert A; Baudin A
    Bull Cancer; 2024 May; 111(5):473-482. PubMed ID: 38503584
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Textual inference for eligibility criteria resolution in clinical trials.
    Shivade C; Hebert C; Lopetegui M; de Marneffe MC; Fosler-Lussier E; Lai AM
    J Biomed Inform; 2015 Dec; 58 Suppl(Suppl):S211-S218. PubMed ID: 26376462
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic data source identification for clinical trial eligibility criteria resolution.
    Shivade C; Hebert C; Regan K; Fosler-Lussier E; Lai AM
    AMIA Annu Symp Proc; 2016; 2016():1149-1158. PubMed ID: 28269912
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification.
    Liu C; Liu H; Ta C; Roger J; Butler A; Lee J; Kim J; Shang N; Weng C
    Stud Health Technol Inform; 2022 Jun; 290():297-300. PubMed ID: 35673021
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Desiderata for Major Eligibility Criteria in Breast Cancer Clinical Trials.
    Paulson ML; Weng C
    AMIA Annu Symp Proc; 2015; 2015():2025-34. PubMed ID: 26958302
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining human and machine intelligence for clinical trial eligibility querying.
    Fang Y; Idnay B; Sun Y; Liu H; Chen Z; Marder K; Xu H; Schnall R; Weng C
    J Am Med Inform Assoc; 2022 Jun; 29(7):1161-1171. PubMed ID: 35426943
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.
    Ni Y; Wright J; Perentesis J; Lingren T; Deleger L; Kaiser M; Kohane I; Solti I
    BMC Med Inform Decis Mak; 2015 Apr; 15():28. PubMed ID: 25881112
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic trial eligibility surveillance based on unstructured clinical data.
    Meystre SM; Heider PM; Kim Y; Aruch DB; Britten CD
    Int J Med Inform; 2019 Sep; 129():13-19. PubMed ID: 31445247
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Criteria2Query: a natural language interface to clinical databases for cohort definition.
    Yuan C; Ryan PB; Ta C; Guo Y; Li Z; Hardin J; Makadia R; Jin P; Shang N; Kang T; Weng C
    J Am Med Inform Assoc; 2019 Apr; 26(4):294-305. PubMed ID: 30753493
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Supporting patient screening to identify suitable clinical trials.
    Bucur A; Van Leeuwen J; Chen NZ; Claerhout B; De Schepper K; Perez-Rey D; Alonso-Calvo R; Pugliano L; Saini K
    Stud Health Technol Inform; 2014; 205():823-7. PubMed ID: 25160302
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ClinicalTrials.gov as a data source for semi-automated point-of-care trial eligibility screening.
    Pfiffner PB; Oh J; Miller TA; Mandl KD
    PLoS One; 2014; 9(10):e111055. PubMed ID: 25334031
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.