These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 38636199)

  • 21. Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm.
    Joo YY; Pacheco JA; Thompson WK; Rasmussen-Torvik LJ; Rasmussen LV; Lin FTJ; Andrade M; Borthwick KM; Bottinger E; Cagan A; Carrell DS; Denny JC; Ellis SB; Gottesman O; Linneman JG; Pathak J; Peissig PL; Shang N; Tromp G; Veerappan A; Smith ME; Chisholm RL; Gawron AJ; Hayes MG; Kho AN
    PLoS One; 2023; 18(5):e0283553. PubMed ID: 37196047
    [TBL] [Abstract][Full Text] [Related]  

  • 22. PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger.
    Verma A; Lucas A; Verma SS; Zhang Y; Josyula N; Khan A; Hartzel DN; Lavage DR; Leader J; Ritchie MD; Pendergrass SA
    Am J Hum Genet; 2018 Apr; 102(4):592-608. PubMed ID: 29606303
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Comorbidities in Childhood Celiac Disease: A Phenome Wide Association Study Using the Electronic Health Record.
    Prinzbach A; Moosavinasab S; Rust S; Boyle B; Barnard JA; Huang Y; Lin S
    J Pediatr Gastroenterol Nutr; 2018 Oct; 67(4):488-493. PubMed ID: 29746339
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Using Phecodes for Research with the Electronic Health Record: From PheWAS to PheRS.
    Bastarache L
    Annu Rev Biomed Data Sci; 2021 Jul; 4():1-19. PubMed ID: 34465180
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Phenome-Wide Association Study of Rheumatoid Arthritis Subgroups Identifies Association Between Seronegative Disease and Fibromyalgia.
    Doss J; Mo H; Carroll RJ; Crofford LJ; Denny JC
    Arthritis Rheumatol; 2017 Feb; 69(2):291-300. PubMed ID: 27589350
    [TBL] [Abstract][Full Text] [Related]  

  • 26. The association of body composition parameters and adverse events in women receiving chemotherapy for early breast cancer.
    Aleixo GFP; Shachar SS; Deal AM; Nyrop KA; Muss HB; Chen YT; Yu H; Williams GR
    Breast Cancer Res Treat; 2020 Aug; 182(3):631-642. PubMed ID: 32519169
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Current Scope and Challenges in Phenome-Wide Association Studies.
    Verma A; Ritchie MD
    Curr Epidemiol Rep; 2017 Dec; 4(4):321-329. PubMed ID: 29545989
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study.
    Keyl J; Bucher A; Jungmann F; Hosch R; Ziller A; Armbruster R; Malkomes P; Reissig TM; Koitka S; Tzianopoulos I; Keyl P; Kostbade K; Albers D; Markus P; Treckmann J; Nassenstein K; Haubold J; Makowski M; Forsting M; Baba HA; Kasper S; Siveke JT; Nensa F; Schuler M; Kaissis G; Kleesiek J; Braren R
    ESMO Open; 2024 Jan; 9(1):102219. PubMed ID: 38194881
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Different computed tomography parameters for defining myosteatosis in patients with advanced non-small cell lung cancer.
    Zhang W; Tang J; Tang H; Xie L; Wang J; Wu J; Yang M
    Clin Nutr; 2023 Dec; 42(12):2414-2421. PubMed ID: 37871482
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Methodology in phenome-wide association studies: a systematic review.
    Wang L; Zhang X; Meng X; Koskeridis F; Georgiou A; Yu L; Campbell H; Theodoratou E; Li X
    J Med Genet; 2021 Nov; 58(11):720-728. PubMed ID: 34272311
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Phenome-Wide Association Studies: Leveraging Comprehensive Phenotypic and Genotypic Data for Discovery.
    Pendergrass SA; Ritchie MD
    Curr Genet Med Rep; 2015 Jun; 3(2):92-100. PubMed ID: 26146598
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.
    Magudia K; Bridge CP; Bay CP; Farah S; Babic A; Fintelmann FJ; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
    AJR Am J Roentgenol; 2023 Feb; 220(2):236-244. PubMed ID: 36043607
    [No Abstract]   [Full Text] [Related]  

  • 33. Beyond sarcopenia: Characterization and integration of skeletal muscle quantity and radiodensity in a curable breast cancer population.
    Weinberg MS; Shachar SS; Muss HB; Deal AM; Popuri K; Yu H; Nyrop KA; Alston SM; Williams GR
    Breast J; 2018 May; 24(3):278-284. PubMed ID: 29139618
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Association between Abdominal CT Measurements of Body Composition before Deceased Donor Liver Transplant with Posttransplant Outcomes.
    Shafaat O; Liu Y; Jackson KR; Motter JD; Boyarsky BJ; Latif MA; Yuan F; Khalil A; King EA; Zaheer A; Summers RM; Segev DL; McAdams-DeMarco M; Weiss CR
    Radiology; 2023 Mar; 306(3):e212403. PubMed ID: 36283115
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Skeletal muscle measures and physical function in older adults with cancer: sarcopenia or myopenia?
    Williams GR; Deal AM; Muss HB; Weinberg MS; Sanoff HK; Nyrop KA; Pergolotti M; Shachar SS
    Oncotarget; 2017 May; 8(20):33658-33665. PubMed ID: 28431396
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Phenome-wide association study maps new diseases to the human major histocompatibility complex region.
    Liu J; Ye Z; Mayer JG; Hoch BA; Green C; Rolak L; Cold C; Khor SS; Zheng X; Miyagawa T; Tokunaga K; Brilliant MH; Hebbring SJ
    J Med Genet; 2016 Oct; 53(10):681-9. PubMed ID: 27287392
    [TBL] [Abstract][Full Text] [Related]  

  • 37. CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank.
    Vu PT; Chahine C; Chatterjee N; MacLean MT; Swago S; Bhattaru A; Thompson EW; Ikhlas A; Oteng E; Davidson L; Tran R; Hazim M; Raghupathy P; Verma A; Duda J; Gee J; Luks V; Gershuni V; Wu G; Rader D; Sagreiya H; Witschey WR;
    Sci Rep; 2024 Jun; 14(1):14807. PubMed ID: 38926479
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.
    Magudia K; Bridge CP; Bay CP; Babic A; Fintelmann FJ; Troschel FM; Miskin N; Wrobel WC; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
    Radiology; 2021 Feb; 298(2):319-329. PubMed ID: 33231527
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach.
    Jung M; Rieder H; Reisert M; Rospleszcz S; Nattenmueller J; Peters A; Schlett CL; Bamberg F; Weiss J
    J Cachexia Sarcopenia Muscle; 2024 Oct; 15(5):1750-1760. PubMed ID: 39009381
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data.
    Denny JC; Bastarache L; Ritchie MD; Carroll RJ; Zink R; Mosley JD; Field JR; Pulley JM; Ramirez AH; Bowton E; Basford MA; Carrell DS; Peissig PL; Kho AN; Pacheco JA; Rasmussen LV; Crosslin DR; Crane PK; Pathak J; Bielinski SJ; Pendergrass SA; Xu H; Hindorff LA; Li R; Manolio TA; Chute CG; Chisholm RL; Larson EB; Jarvik GP; Brilliant MH; McCarty CA; Kullo IJ; Haines JL; Crawford DC; Masys DR; Roden DM
    Nat Biotechnol; 2013 Dec; 31(12):1102-10. PubMed ID: 24270849
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.