BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 37592224)

  • 1. An artificial intelligence-based ecological index for prognostic evaluation of colorectal cancer.
    Chen Q; Cai M; Fan X; Liu W; Fang G; Yao S; Xu Y; Li Q; Zhao Y; Zhao K; Liu Z; Chen Z
    BMC Cancer; 2023 Aug; 23(1):763. PubMed ID: 37592224
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial intelligence-based analysis of tumor-infiltrating lymphocyte spatial distribution for colorectal cancer prognosis.
    Cai M; Zhao K; Wu L; Huang Y; Zhao M; Hu Q; Chen Q; Yao S; Li Z; Fan X; Liu Z
    Chin Med J (Engl); 2024 Feb; 137(4):421-430. PubMed ID: 38238158
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer.
    Zhao K; Li Z; Yao S; Wang Y; Wu X; Xu Z; Wu L; Huang Y; Liang C; Liu Z
    EBioMedicine; 2020 Nov; 61():103054. PubMed ID: 33039706
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer.
    Ye Y; Wu X; Wang H; Ye H; Zhao K; Yao S; Liu Z; Zhu Y; Zhang Q; Liang C
    Ann Med; 2023 Dec; 55(1):2215541. PubMed ID: 37224471
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer.
    Yang J; Ye H; Fan X; Li Y; Wu X; Zhao M; Hu Q; Ye Y; Wu L; Li Z; Zhang X; Liang C; Wang Y; Xu Y; Li Q; Yao S; You D; Zhao K; Liu Z
    J Transl Med; 2022 Oct; 20(1):451. PubMed ID: 36195956
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study.
    Bilal M; Tsang YW; Ali M; Graham S; Hero E; Wahab N; Dodd K; Sahota H; Wu S; Lu W; Jahanifar M; Robinson A; Azam A; Benes K; Nimir M; Hewitt K; Bhalerao A; Eldaly H; Raza SEA; Gopalakrishnan K; Minhas F; Snead D; Rajpoot N
    Lancet Digit Health; 2023 Nov; 5(11):e786-e797. PubMed ID: 37890902
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The Crohn's-like lymphoid reaction density: a new artificial intelligence quantified prognostic immune index in colon cancer.
    Zhao M; Yao S; Li Z; Wu L; Xu Z; Pan X; Lin H; Xu Y; Yang S; Zhang S; Li Y; Zhao K; Liang C; Liu Z
    Cancer Immunol Immunother; 2022 May; 71(5):1221-1231. PubMed ID: 34642778
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial intelligence for quantifying Crohn's-like lymphoid reaction and tumor-infiltrating lymphocytes in colorectal cancer.
    Xu Y; Yang S; Zhu Y; Yao S; Li Y; Ye H; Ye Y; Li Z; Wu L; Zhao K; Huang L; Liu Z
    Comput Struct Biotechnol J; 2022; 20():5586-5594. PubMed ID: 36284712
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images.
    Zhao K; Wu L; Huang Y; Yao S; Xu Z; Lin H; Wang H; Liang Y; Xu Y; Chen X; Zhao M; Peng J; Huang Y; Liang C; Li Z; Li Y; Liu Z
    Precis Clin Med; 2021 Mar; 4(1):17-24. PubMed ID: 35693123
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma.
    Naji H; Sancere L; Simon A; Büttner R; Eich ML; Lohneis P; Bożek K
    Comput Biol Med; 2024 Mar; 170():107978. PubMed ID: 38237235
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
    Song JH; Hong Y; Kim ER; Kim SH; Sohn I
    J Gastroenterol; 2022 Sep; 57(9):654-666. PubMed ID: 35802259
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratification.
    Lin H; Pan X; Feng Z; Yan L; Hua J; Liang Y; Han C; Xu Z; Wang Y; Wu L; Cui Y; Huang X; Shi Z; Chen X; Chen X; Zhang Q; Liang C; Zhao K; Li Z; Liu Z
    J Transl Med; 2022 Jun; 20(1):261. PubMed ID: 35672787
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prognostic prediction based on histopathologic features of tumor microenvironment in colorectal cancer.
    Shi L; Zhang Y; Wang H
    Front Med (Lausanne); 2023; 10():1154077. PubMed ID: 37089601
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens.
    Griem J; Eich ML; Schallenberg S; Pryalukhin A; Bychkov A; Fukuoka J; Zayats V; Hulla W; Munkhdelger J; Seper A; Tsvetkov T; Mukhopadhyay A; Sanner A; Stieber J; Fuchs M; Babendererde N; Schömig-Markiefka B; Klein S; Buettner R; Quaas A; Tolkach Y
    Mod Pathol; 2023 Dec; 36(12):100327. PubMed ID: 37683932
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A deep learning quantified stroma-immune score to predict survival of patients with stage II-III colorectal cancer.
    Xu Z; Li Y; Wang Y; Zhang S; Huang Y; Yao S; Han C; Pan X; Shi Z; Mao Y; Xu Y; Huang X; Lin H; Chen X; Liang C; Li Z; Zhao K; Zhang Q; Liu Z
    Cancer Cell Int; 2021 Oct; 21(1):585. PubMed ID: 34717647
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancer.
    Albusayli R; Graham JD; Pathmanathan N; Shaban M; Raza SEA; Minhas F; Armes JE; Rajpoot N
    J Pathol; 2023 May; 260(1):32-42. PubMed ID: 36705810
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lymphocytic infiltration in stage II microsatellite stable colorectal tumors: A retrospective prognosis biomarker analysis.
    Sanz-Pamplona R; Melas M; Maoz A; Schmit SL; Rennert H; Lejbkowicz F; Greenson JK; Sanjuan X; Lopez-Zambrano M; Alonso MH; Qu C; McDonnell KJ; Idos GE; Vignali M; Emerson R; Fields P; Guinó E; Santos C; Salazar R; Robins HS; Rennert G; Gruber SB; Moreno V
    PLoS Med; 2020 Sep; 17(9):e1003292. PubMed ID: 32970670
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and Validation of an Immune-Based Prognostic Risk Score for Patients With Resected Non-Small Cell Lung Cancer.
    He L; Huang Y; Chen X; Huang X; Wang H; Zhang Y; Liang C; Li Z; Yan L; Liu Z
    Front Immunol; 2022; 13():835630. PubMed ID: 35401554
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
    Khan A; Brouwer N; Blank A; Müller F; Soldini D; Noske A; Gaus E; Brandt S; Nagtegaal I; Dawson H; Thiran JP; Perren A; Lugli A; Zlobec I
    Mod Pathol; 2023 May; 36(5):100118. PubMed ID: 36805793
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An immune, stroma, and epithelial-mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II-III colorectal cancer.
    Cai D; Wang W; Zhong ME; Fan D; Liu X; Li CH; Huang ZP; Zhu Q; Lv MY; Hu C; Duan X; Wu XJ; Gao F
    Cancer Med; 2023 Apr; 12(7):8924-8936. PubMed ID: 36629124
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.