D053842DisordersC23.550.362.590G05.365.590.335.590G05.370.59031400.975247Microsatellite Instabilityplugins:TwitterTwitterprns:emailEncryptedemail addressprns:fullNamefull nameprns:hasAuthorListauthor listprns:hasNetworkhas networkprns:hasPublicationVenuepublished inprns:informationResourceReferenceinformation resource referenceprns:isPrimaryPositionis primary positionprns:latitudelatitudeprns:longitudelongitudeprns:mainImagephotoprns:maxWeightmaximum weightprns:medlineTAjournal title abbreviationprns:meshDescriptorUIMeSH DescriptorUIprns:meshSemanticGroupNameMeSH semantic group nameprns:meshTreeNumberMeSH tree numberprns:minWeightminimum weightprns:numberOfAuthorsnumber of authorsprns:numberOfConnectionsnumber of connectionsprns:numberOfPublicationsnumber of publicationsprns:personIdPerson IDprns:personInPrimaryPositionperson in primary positionprns:pluginSearchableDataProfilesRNS Plugin Searchable Dataprns:positionInDepartmentposition in departmentprns:predicateNodepredicate nodeprns:publicationDatepublication dateprns:sortOrdersort orderprns:uniquenessWeightuniqueness weightprns:yearyearAcademic ArticleArticleDocumentbibo:pmidPubMed IdentifierDepartmentvivo:hrJobTitleHR job titleInformation ResourcePositionvivo:positionInOrganizationposition in organizationvivo:preferredTitlepreferred titlevivo:researchAreaOfresearch area ofvivo:subjectAreaForsubject area forrdf:predicatepredicaterdf:typetyperdfs:labellabelConceptAgentfoaf:firstNamefirst namefoaf:lastNamelast nameOrganizationPersonAlexanderPearson1nJsCrMGFuKMsW9naE/t8mL1sc65/A==Alexander Pearson41.7886000000000087.598699999999993513Pearson, AlexanderAssociate ProfessorMedicine-Gastroenterology31383735Willis J, Lefterova MI, Artyomenko A, Kasi PM, Nakamura Y, Mody K, Catenacci DVT, Fakih M, Barbacioru C, Zhao J, Sikora M, Fairclough SR, Lee H, Kim KM, Kim ST, Kim J, Gavino D, Benavides M, Peled N, Nguyen T, Cusnir M, Eskander RN, Azzi G, Yoshino T, Banks KC, Raymond VM, Lanman RB, Chudova DI, Talasaz A, Kopetz S, Lee J, Odegaard JIClinical cancer research : an official journal of the American Association for Cancer ResearchValidation of Microsatellite Instability Detection Using a Comprehensive Plasma-Based Genotyping Panel. Clin Cancer Res. 2019 12 01; 25(23):7035-7045.Clin Cancer Res2019-08-04T00:00:002019Validation of Microsatellite Instability Detection Using a Comprehensive Plasma-Based Genotyping Panel.KatherineKurnitKatherine Kurnit41.7886000000000087.598699999999993851Kurnit, KatherineAssistant Professor32562722Echle A, Grabsch HI, Quirke P, van den Brandt PA, West NP, Hutchins GGA, Heij LR, Tan X, Richman SD, Krause J, Alwers E, Jenniskens J, Offermans K, Gray R, Brenner H, Chang-Claude J, Trautwein C, Pearson AT, Boor P, Luedde T, Gaisa NT, Hoffmeister M, Kather JNGastroenterologyClinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning. Gastroenterology. 2020 10; 159(4):1406-1416.e11.Gastroenterology2020-06-17T00:00:002020Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.33387492Yamashita R, Long J, Longacre T, Peng L, Berry G, Martin B, Higgins J, Rubin DL, Shen JThe Lancet. OncologyDeep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study. Lancet Oncol. 2021 01; 22(1):132-141.Lancet Oncol2021-01-01T00:00:002021Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.Medicine-Hematology and OncologyObstetrics and Gynecology-Gynecologic OncologyElizabethKertowidjojoElizabeth Kertowidjojo41.7886000000000087.598699999999994044Kertowidjojo, ElizabethAssistant Professor33565124Krause J, Grabsch HI, Kloor M, Jendrusch M, Echle A, Buelow RD, Boor P, Luedde T, Brinker TJ, Trautwein C, Pearson AT, Quirke P, Jenniskens J, Offermans K, van den Brandt PA, Kather JNThe Journal of pathologyDeep learning detects genetic alterations in cancer histology generated by adversarial networks. J Pathol. 2021 05; 254(1):70-79.J Pathol2021-03-16T00:00:002021Deep learning detects genetic alterations in cancer histology generated by adversarial networks.34417147Muti HS, Heij LR, Keller G, Kohlruss M, Langer R, Dislich B, Cheong JH, Kim YW, Kim H, Kook MC, Cunningham D, Allum WH, Langley RE, Nankivell MG, Quirke P, Hayden JD, West NP, Irvine AJ, Yoshikawa T, Oshima T, Huss R, Grosser B, Roviello F, d'Ignazio A, Quaas A, Alakus H, Tan X, Pearson AT, Luedde T, Ebert MP, Jäger D, Trautwein C, Gaisa NT, Grabsch HI, Kather JNThe Lancet. Digital healthDevelopment and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study. Lancet Digit Health. 2021 10; 3(10):e654-e664.Lancet Digit Health2021-08-17T00:00:002021Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.0.7632330.019550131research area of0.8343990.080185241subject area for@Lab_PearsonPathologyUniversity of ChicagoSonia S.KupferxHFiHrETHP75hHlsaUXv9Gq0+s+oSonia S. Kupfer41.78927490000000-87.60125000000000446Kupfer, Sonia S.Professortrue1ProfessorProfessortrue1Associate ProfessorAssociate Professortrue1Assistant ProfessorAssistant Professortrue1Assistant ProfessorAssistant Professortrue1Associate ProfessorAssociate ProfessorNamrataSetiaNamrata Setia0.000000000000000.000000000000003201Setia, NamrataAssociate Professor