BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 34888541)

  • 21. [Can artificial intelligence make a meaningful contribution to oral healthcare?].
    Imangaliyev SK; Brand HS
    Ned Tijdschr Tandheelkd; 2022 Jan; 129(1):11-15. PubMed ID: 35015387
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Global gene network exploration based on explainable artificial intelligence approach.
    Park H; Maruhashi K; Yamaguchi R; Imoto S; Miyano S
    PLoS One; 2020; 15(11):e0241508. PubMed ID: 33156825
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Spatial domain analysis predicts risk of colorectal cancer recurrence and infers associated tumor microenvironment networks.
    Uttam S; Stern AM; Sevinsky CJ; Furman S; Pullara F; Spagnolo D; Nguyen L; Gough A; Ginty F; Lansing Taylor D; Chakra Chennubhotla S
    Nat Commun; 2020 Jul; 11(1):3515. PubMed ID: 32665557
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers.
    Meena J; Hasija Y
    Comput Biol Med; 2022 Jul; 146():105505. PubMed ID: 35477047
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Artificial intelligence in intestinal polyp and colorectal cancer prediction.
    Sharma A; Kumar R; Yadav G; Garg P
    Cancer Lett; 2023 Jul; 565():216238. PubMed ID: 37211068
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Unsupervised and supervised discovery of tissue cellular neighborhoods from cell phenotypes.
    Hu Y; Rong J; Xu Y; Xie R; Peng J; Gao L; Tan K
    Nat Methods; 2024 Feb; 21(2):267-278. PubMed ID: 38191930
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Cellular community detection for tissue phenotyping in colorectal cancer histology images.
    Javed S; Mahmood A; Fraz MM; Koohbanani NA; Benes K; Tsang YW; Hewitt K; Epstein D; Snead D; Rajpoot N
    Med Image Anal; 2020 Jul; 63():101696. PubMed ID: 32330851
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning random forest for predicting oncosomatic variant NGS analysis.
    Pellegrino E; Jacques C; Beaufils N; Nanni I; Carlioz A; Metellus P; Ouafik L
    Sci Rep; 2021 Nov; 11(1):21820. PubMed ID: 34750410
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer.
    Dashti H; Dehzangi I; Bayati M; Breen J; Beheshti A; Lovell N; Rabiee HR; Alinejad-Rokny H
    BMC Bioinformatics; 2022 Apr; 23(1):138. PubMed ID: 35439935
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Analysis of Spatial Organization of Suppressive Myeloid Cells and Effector T Cells in Colorectal Cancer-A Potential Tool for Discovering Prognostic Biomarkers in Clinical Research.
    Zwing N; Failmezger H; Ooi CH; Hibar DP; Cañamero M; Gomes B; Gaire F; Korski K
    Front Immunol; 2020; 11():550250. PubMed ID: 33193316
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The Discovery of a LEMD2-Associated Nuclear Envelopathy with Early Progeroid Appearance Suggests Advanced Applications for AI-Driven Facial Phenotyping.
    Marbach F; Rustad CF; Riess A; Đukić D; Hsieh TC; Jobani I; Prescott T; Bevot A; Erger F; Houge G; Redfors M; Altmueller J; Stokowy T; Gilissen C; Kubisch C; Scarano E; Mazzanti L; Fiskerstrand T; Krawitz PM; Lessel D; Netzer C
    Am J Hum Genet; 2019 Apr; 104(4):749-757. PubMed ID: 30905398
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A SMAD4-modulated gene profile predicts disease-free survival in stage II and III colorectal cancer.
    Szeglin BC; Wu C; Marco MR; Park HS; Zhang Z; Zhang B; Garcia-Aguilar J; Beauchamp RD; Chen XS; Smith JJ
    Cancer Rep (Hoboken); 2022 Jan; 5(1):e1423. PubMed ID: 34114372
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of technology frontiers of artificial intelligence-assisted pathology based on patent citation network.
    Zhang T; Chen J; Lu Y; Yang X; Ouyang Z
    PLoS One; 2022; 17(8):e0273355. PubMed ID: 35994484
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of Somatic Gene Signatures in Circulating Cell-Free DNA Associated with Disease Progression in Metastatic Prostate Cancer by a Novel Machine Learning Platform.
    Lin E; Hahn AW; Nussenzveig RH; Wesolowski S; Sayegh N; Maughan BL; McFarland T; Rathi N; Sirohi D; Sonpavde G; Swami U; Kohli M; Rich T; Sartor O; Yandell M; Agarwal N
    Oncologist; 2021 Sep; 26(9):751-760. PubMed ID: 34157173
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Enhanced clinical phenotyping by mechanistic bioprofiling in heart failure with preserved ejection fraction: insights from the MEDIA-DHF study (The Metabolic Road to Diastolic Heart Failure).
    Stienen S; Ferreira JP; Kobayashi M; Preud'homme G; Dobre D; Machu JL; Duarte K; Bresso E; Devignes MD; López N; Girerd N; Aakhus S; Ambrosio G; Brunner-La Rocca HP; Fontes-Carvalho R; Fraser AG; van Heerebeek L; Heymans S; de Keulenaer G; Marino P; McDonald K; Mebazaa A; Papp Z; Raddino R; Tschöpe C; Paulus WJ; Zannad F; Rossignol P
    Biomarkers; 2020 Mar; 25(2):201-211. PubMed ID: 32063068
    [No Abstract]   [Full Text] [Related]  

  • 36. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
    Belhassen S; Zaidi H
    Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic.
    Salvucci M; Rahman A; Resler AJ; Udupi GM; McNamara DA; Kay EW; Laurent-Puig P; Longley DB; Johnston PG; Lawler M; Wilson R; Salto-Tellez M; Van Schaeybroeck S; Rafferty M; Gallagher WM; Rehm M; Prehn JHM
    JCO Clin Cancer Inform; 2019 Apr; 3():1-17. PubMed ID: 30995124
    [TBL] [Abstract][Full Text] [Related]  

  • 38. An algorithm for classifying tumors based on genomic aberrations and selecting representative tumor models.
    Lu X; Zhang K; Van Sant C; Coon J; Semizarov D
    BMC Med Genomics; 2010 Jun; 3():23. PubMed ID: 20569491
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Microenvironmentally-driven Plasticity of CD44 isoform expression determines Engraftment and Stem-like Phenotype in CRC cell lines.
    Dinger TF; Chen O; Dittfeld C; Hetze L; Hüther M; Wondrak M; Löck S; Eicheler W; Breier G; Kunz-Schughart LA
    Theranostics; 2020; 10(17):7599-7621. PubMed ID: 32685007
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Visualization of genetic disease-phenotype similarities by multiple maps t-SNE with Laplacian regularization.
    Xu W; Jiang X; Hu X; Li G
    BMC Med Genomics; 2014; 7 Suppl 2(Suppl 2):S1. PubMed ID: 25350393
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.