BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 37117277)

  • 1. Preliminary evaluation of deep learning for first-line diagnostic prediction of tumor mutational status.
    Morel LO; Derangère V; Arnould L; Ladoire S; Vinçon N
    Sci Rep; 2023 Apr; 13(1):6927. PubMed ID: 37117277
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study.
    Bilal M; Raza SEA; Azam A; Graham S; Ilyas M; Cree IA; Snead D; Minhas F; Rajpoot NM
    Lancet Digit Health; 2021 Dec; 3(12):e763-e772. PubMed ID: 34686474
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study.
    Ding K; Zhou M; Wang H; Zhang S; Metaxas DN
    Lancet Digit Health; 2022 Nov; 4(11):e787-e795. PubMed ID: 36307192
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.
    Jang HJ; Lee A; Kang J; Song IH; Lee SH
    World J Gastroenterol; 2020 Oct; 26(40):6207-6223. PubMed ID: 33177794
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning for colon cancer histopathological images analysis.
    Ben Hamida A; Devanne M; Weber J; Truntzer C; Derangère V; Ghiringhelli F; Forestier G; Wemmert C
    Comput Biol Med; 2021 Sep; 136():104730. PubMed ID: 34375901
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes.
    Sudhakar M; Rengaswamy R; Raman K
    Front Genet; 2022; 13():854190. PubMed ID: 35620468
    [TBL] [Abstract][Full Text] [Related]  

  • 7. KRAS Testing for Anti-EGFR Therapy in Advanced Colorectal Cancer: An Evidence-Based and Economic Analysis.
    Medical Advisory Secretariat
    Ont Health Technol Assess Ser; 2010; 10(25):1-49. PubMed ID: 23074403
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.
    Nero C; Boldrini L; Lenkowicz J; Giudice MT; Piermattei A; Inzani F; Pasciuto T; Minucci A; Fagotti A; Zannoni G; Valentini V; Scambia G
    Int J Mol Sci; 2022 Sep; 23(19):. PubMed ID: 36232628
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
    Coudray N; Ocampo PS; Sakellaropoulos T; Narula N; Snuderl M; Fenyö D; Moreira AL; Razavian N; Tsirigos A
    Nat Med; 2018 Oct; 24(10):1559-1567. PubMed ID: 30224757
    [TBL] [Abstract][Full Text] [Related]  

  • 10. PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.
    Lou J; Xu J; Zhang Y; Sun Y; Fang A; Liu J; Mur LAJ; Ji B
    Comput Methods Programs Biomed; 2022 Oct; 225():107095. PubMed ID: 36057226
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.
    AlDubayan SH; Conway JR; Camp SY; Witkowski L; Kofman E; Reardon B; Han S; Moore N; Elmarakeby H; Salari K; Choudhry H; Al-Rubaish AM; Al-Sulaiman AA; Al-Ali AK; Taylor-Weiner A; Van Allen EM
    JAMA; 2020 Nov; 324(19):1957-1969. PubMed ID: 33201204
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.
    Velmahos CS; Badgeley M; Lo YC
    Cancer Med; 2021 Jul; 10(14):4805-4813. PubMed ID: 34114376
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis.
    Kosaraju SC; Hao J; Koh HM; Kang M
    Methods; 2020 Jul; 179():3-13. PubMed ID: 32442672
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach.
    Jang HJ; Lee A; Kang J; Song IH; Lee SH
    World J Gastroenterol; 2021 Nov; 27(44):7687-7704. PubMed ID: 34908807
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Lung cancer molecular testing, what role for Next Generation Sequencing and circulating tumor DNA].
    Pécuchet N; Legras A; Laurent-Puig P; Blons H
    Ann Pathol; 2016 Jan; 36(1):80-93. PubMed ID: 26803564
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging.
    He K; Liu X; Li M; Li X; Yang H; Zhang H
    BMC Med Imaging; 2020 Jun; 20(1):59. PubMed ID: 32487083
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
    Bien N; Rajpurkar P; Ball RL; Irvin J; Park A; Jones E; Bereket M; Patel BN; Yeom KW; Shpanskaya K; Halabi S; Zucker E; Fanton G; Amanatullah DF; Beaulieu CF; Riley GM; Stewart RJ; Blankenberg FG; Larson DB; Jones RH; Langlotz CP; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002699. PubMed ID: 30481176
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning for cancer type classification and driver gene identification.
    Zeng Z; Mao C; Vo A; Li X; Nugent JO; Khan SA; Clare SE; Luo Y
    BMC Bioinformatics; 2021 Oct; 22(Suppl 4):491. PubMed ID: 34689757
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.
    Jiang M; Zhang D; Tang SC; Luo XM; Chuan ZR; Lv WZ; Jiang F; Ni XJ; Cui XW; Dietrich CF
    Eur Radiol; 2021 Jun; 31(6):3673-3682. PubMed ID: 33226454
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Driver gene alterations profiling of Chinese non-small cell lung cancer and the effects of co-occurring alterations on immunotherapy.
    Sun S; Du W; Sun Q; Zhao X; Qin B; Shi D; Wan C; Wu Z
    Cancer Med; 2021 Oct; 10(20):7360-7372. PubMed ID: 34599863
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.