BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 38123254)

  • 21. An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
    Hiremath A; Shiradkar R; Fu P; Mahran A; Rastinehad AR; Tewari A; Tirumani SH; Purysko A; Ponsky L; Madabhushi A
    Lancet Digit Health; 2021 Jul; 3(7):e445-e454. PubMed ID: 34167765
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.
    Wang Y; Ali MA; Vallon-Christersson J; Humphreys K; Hartman J; Rantalainen M
    Eur J Cancer; 2023 Sep; 191():112953. PubMed ID: 37494846
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.
    Jiang Y; Zhang Z; Yuan Q; Wang W; Wang H; Li T; Huang W; Xie J; Chen C; Sun Z; Yu J; Xu Y; Poultsides GA; Xing L; Zhou Z; Li G; Li R
    Lancet Digit Health; 2022 May; 4(5):e340-e350. PubMed ID: 35461691
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer.
    Sun C; Li B; Wei G; Qiu W; Li D; Li X; Liu X; Wei W; Wang S; Liu Z; Tian J; Liang L
    Comput Methods Programs Biomed; 2022 Jun; 221():106914. PubMed ID: 35640390
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Improving Clinical Risk Stratification at Diagnosis in Primary Prostate Cancer: A Prognostic Modelling Study.
    Gnanapragasam VJ; Lophatananon A; Wright KA; Muir KR; Gavin A; Greenberg DC
    PLoS Med; 2016 Aug; 13(8):e1002063. PubMed ID: 27483464
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.
    Hosny A; Parmar C; Coroller TP; Grossmann P; Zeleznik R; Kumar A; Bussink J; Gillies RJ; Mak RH; Aerts HJWL
    PLoS Med; 2018 Nov; 15(11):e1002711. PubMed ID: 30500819
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs.
    Rim TH; Lee CJ; Tham YC; Cheung N; Yu M; Lee G; Kim Y; Ting DSW; Chong CCY; Choi YS; Yoo TK; Ryu IH; Baik SJ; Kim YA; Kim SK; Lee SH; Lee BK; Kang SM; Wong EYM; Kim HC; Kim SS; Park S; Cheng CY; Wong TY
    Lancet Digit Health; 2021 May; 3(5):e306-e316. PubMed ID: 33890578
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A validated prognostic classifier for
    Loupakis F; Intini R; Cremolini C; Orlandi A; Sartore-Bianchi A; Pietrantonio F; Pella N; Spallanzani A; Dell'Aquila E; Scartozzi M; De Luca E; Rimassa L; Formica V; Leone F; Calvetti L; Aprile G; Antonuzzo L; Urbano F; Prenen H; Negri F; Di Donato S; Buonandi P; Tomasello G; Avallone A; Zustovich F; Moretto R; Antoniotti C; Salvatore L; Calegari MA; Siena S; Morano F; Ongaro E; Cascinu S; Santini D; Ziranu P; Schirripa M; Buggin F; Prete AA; Depetris I; Biason P; Lonardi S; Zagonel V; Fassan M; Di Maio M
    Eur J Cancer; 2019 Sep; 118():121-130. PubMed ID: 31330487
    [TBL] [Abstract][Full Text] [Related]  

  • 30. CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study.
    Cao W; Hu H; Guo J; Qin Q; Lian Y; Li J; Wu Q; Chen J; Wang X; Deng Y
    J Transl Med; 2023 Mar; 21(1):214. PubMed ID: 36949511
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study.
    Jiao Z; Choi JW; Halsey K; Tran TML; Hsieh B; Wang D; Eweje F; Wang R; Chang K; Wu J; Collins SA; Yi TY; Delworth AT; Liu T; Healey TT; Lu S; Wang J; Feng X; Atalay MK; Yang L; Feldman M; Zhang PJL; Liao WH; Fan Y; Bai HX
    Lancet Digit Health; 2021 May; 3(5):e286-e294. PubMed ID: 33773969
    [TBL] [Abstract][Full Text] [Related]  

  • 32. End-to-End Non-Small-Cell Lung Cancer Prognostication Using Deep Learning Applied to Pretreatment Computed Tomography.
    Torres FS; Akbar S; Raman S; Yasufuku K; Schmidt C; Hosny A; Baldauf-Lenschen F; Leighl NB
    JCO Clin Cancer Inform; 2021 Oct; 5():1141-1150. PubMed ID: 34797702
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep learning based tissue analysis predicts outcome in colorectal cancer.
    Bychkov D; Linder N; Turkki R; Nordling S; Kovanen PE; Verrill C; Walliander M; Lundin M; Haglund C; Lundin J
    Sci Rep; 2018 Feb; 8(1):3395. PubMed ID: 29467373
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.
    Wesp P; Grosu S; Graser A; Maurus S; Schulz C; Knösel T; Fabritius MP; Schachtner B; Yeh BM; Cyran CC; Ricke J; Kazmierczak PM; Ingrisch M
    Eur Radiol; 2022 Jul; 32(7):4749-4759. PubMed ID: 35083528
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study.
    Stone P; Kalpakidou A; Todd C; Griffiths J; Keeley V; Spencer K; Buckle P; Finlay DA; Vickerstaff V; Omar RZ
    Health Technol Assess; 2021 May; 25(28):1-118. PubMed ID: 34018486
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of prognosis and treatment response in ovarian cancer patients from histopathology images using graph deep learning: a multicenter retrospective study.
    Yang Z; Zhang Y; Zhuo L; Sun K; Meng F; Zhou M; Sun J
    Eur J Cancer; 2024 Mar; 199():113532. PubMed ID: 38241820
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.
    Kreuzberger N; Damen JA; Trivella M; Estcourt LJ; Aldin A; Umlauff L; Vazquez-Montes MD; Wolff R; Moons KG; Monsef I; Foroutan F; Kreuzer KA; Skoetz N
    Cochrane Database Syst Rev; 2020 Jul; 7(7):CD012022. PubMed ID: 32735048
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study.
    Tang XR; Li YQ; Liang SB; Jiang W; Liu F; Ge WX; Tang LL; Mao YP; He QM; Yang XJ; Zhang Y; Wen X; Zhang J; Wang YQ; Zhang PP; Sun Y; Yun JP; Zeng J; Li L; Liu LZ; Liu N; Ma J
    Lancet Oncol; 2018 Mar; 19(3):382-393. PubMed ID: 29428165
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep learning-based prognostic model using non-enhanced cardiac cine MRI for outcome prediction in patients with heart failure.
    Gao Y; Zhou Z; Zhang B; Guo S; Bo K; Li S; Zhang N; Wang H; Yang G; Zhang H; Liu T; Xu L
    Eur Radiol; 2023 Nov; 33(11):8203-8213. PubMed ID: 37286789
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Nontumor related risk score: A new tool to improve prediction of prognosis after hepatectomy for colorectal liver metastases.
    Sasaki K; Margonis GA; Moro A; Wang J; Wagner D; Gagnière J; Shin JK; D'Silva M; Sahara K; Miyata T; Kusakabe J; Beyer K; Dupré A; Kamphues C; Imai K; Baba H; Endo I; Taura K; Cho JY; Aucejo F; Kornprat P; Kreis ME; Kim JM; Burkhart R; David Kwon CH; Pawlik TM
    Surgery; 2022 Jun; 171(6):1580-1587. PubMed ID: 35221105
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.