المؤلفون: Pellinen, Teijo, Sandeman, Kevin, Blom, Sami, Turkki, Riku, Hemmes, Annabrita, Välimäki, Katja, Eineluoto, Juho, Kenttämies, Anu, Nordling, Stig, Kallioniemi, Olli, Rannikko, Antti, Mirtti, Tuomas

المساهمون: Suomen molekyylilääketieteen instituutti, Precision Systems Medicine, Helsinki Institute of Life Science HiLIFE, HUSLAB, Patologian osasto, Research Program in Systems Oncology, HUS Vatsakeskus, Urologian yksikkö, HUS Kuvantaminen, Medicum, Kirurgian osasto, Clinicum, Digital Precision Cancer Medicine (iCAN)

مصطلحات موضوعية: 3122 Syöpätaudit

وصف الملف: application/pdf

العلاقة: Pellinen , T , Sandeman , K , Blom , S , Turkki , R , Hemmes , A , Välimäki , K , Eineluoto , J , Kenttämies , A , Nordling , S , Kallioniemi , O , Rannikko , A & Mirtti , T 2022 , ' Stromal FAP Expression is Associated with MRI Visibility and Patient Survival in Prostate Cancer ' , Cancer research communications , Vuosikerta. 2 , Nro 3 , Sivut 172-181 . https://doi.org/10.1158/2767-9764.CRC-21-0183Test; ORCID: /0000-0003-0455-9891/work/151786534; ORCID: /0000-0002-4261-3484/work/151794003; ORCID: /0000-0002-1878-8911/work/151794023; ORCID: /0000-0002-8690-6983/work/151794069; ORCID: /0009-0005-5051-9331/work/157594303; http://hdl.handle.net/10138/570144Test; 87843d72-e9b0-4e5d-b22c-d888d89c27df; 001033648100001

الإتاحة: http://hdl.handle.net/10138/570144Test

المؤلفون: Sjöblom, Nelli, Boyd, Sonja, Manninen, Anniina, Blom, Sami, Knuuttila, Anna, Färkkilä, Martti, Arola, Johanna

المساهمون: HUSLAB, Department of Pathology, HUS Helsinki and Uusimaa Hospital District, Clinicum, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Department of Medicine, Gastroenterologian yksikkö

مصطلحات موضوعية: Artificial intelligence, Ductular reaction, Liver histology, Primary sclerosing cholangitis, Surrogate marker, 3111 Biomedicine

وصف الملف: application/pdf

العلاقة: Sjöblom , N , Boyd , S , Manninen , A , Blom , S , Knuuttila , A , Färkkilä , M & Arola , J 2023 , ' Automated image analysis of keratin 7 staining can predict disease outcome in primary sclerosing cholangitis ' , Hepatology Research , vol. 53 , no. 4 , pp. 322-333 . https://doi.org/10.1111/hepr.13867Test; ORCID: /0000-0002-0250-8559/work/133135185; ORCID: /0000-0002-3360-6645/work/133139127; 80f35275-7e95-4eee-b123-f0c6198fb2f6; http://hdl.handle.net/10138/356917Test; 000904758400001

الإتاحة: http://hdl.handle.net/10138/356917Test

المؤلفون: Mairinoja, Laura, Heikelä, Hanna, Blom, Sami, Kumar, Darshan, Knuuttila, Anna, Boyd, Sonja, Sjöblom, Nelli, Birkman, Eva-Maria, Rinne, Petteri, Ruusuvuori, Pekka, Strauss, Leena, Poutanen, Matti

المساهمون: HUSLAB, Clinicum, Department of Pathology

مصطلحات موضوعية: Disease, 3111 Biomedicine

وصف الملف: application/pdf

العلاقة: Supported by the Drug Research Doctoral Program, University of Turku; the Finnish Ministry of Education and Culture; the Sigrid Juselius Foundation; and the Academy of Finland grants 341967, 334782, and 335976 (P.R.).; Mairinoja , L , Heikelä , H , Blom , S , Kumar , D , Knuuttila , A , Boyd , S , Sjöblom , N , Birkman , E-M , Rinne , P , Ruusuvuori , P , Strauss , L & Poutanen , M 2023 , ' Deep Learning-Based Image Analysis of Liver Steatosis in Mouse Models ' , American Journal of Pathology , vol. 193 , no. 8 , pp. 1072-1080 . https://doi.org/10.1016/j.ajpath.2023.04.014Test; ORCID: /0000-0002-3360-6645/work/142451394; 373a7019-34f7-4d56-a847-6c039d38820a; http://hdl.handle.net/10138/565322Test; 001050635700001

الإتاحة: http://hdl.handle.net/10138/565322Test

المؤلفون: Vesterinen, Tiina, Säilä, Jenni, Blom, Sami, Pennanen, Mirkka, Leijon, Helena, Arola, Johanna

المساهمون: HUSLAB, Institute for Molecular Medicine Finland, Department of Pathology, HUS Diagnostic Center

مصطلحات موضوعية: deep learning, digital pathology, Ki-67 proliferation index, neuroendocrine neoplasm, DIGITAL-IMAGE-ANALYSIS, QUANTIFICATION, CONCORDANCE, GUIDELINES, MANAGEMENT, AGREEMENT, Biomedicine, 11832 Microbiology and virology

وصف الملف: application/pdf

العلاقة: This work was supported by the Cancer Foundation Finland [no grant number] and the Helsinki University Hospital Research Fund [grant number TYH2019205].; Vesterinen , T , Säilä , J , Blom , S , Pennanen , M , Leijon , H & Arola , J 2022 , ' Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning ' , APMIS , vol. 130 , no. 1 , pp. 11-20 . https://doi.org/10.1111/apm.13190Test; ORCID: /0000-0003-2997-0337/work/127503358; ORCID: /0000-0001-7510-3483/work/127509975; http://hdl.handle.net/10138/353551Test; 31dc16a2-b810-466d-9dcb-d6d669d0453a; 000720905300001

الإتاحة: http://hdl.handle.net/10138/353551Test

المؤلفون: Strauss, Leena, Junnila, Arttu, Wärri, Anni, Manti, Maria, Jiang, Yiwen, Löyttyniemi, Eliisa, Stener-Victorin, Elisabet, Lagerquist, Marie K, Kukoricza, Krisztina, Heinosalo, Taija, Blom, Sami, Poutanen, Matti

المصدر: Journal of Endocrinology. 261(3)

مصطلحات موضوعية: Endocrinology and Diabetes, Endokrinologi och diabetes, estrogen, female reproduction, ovarian function, progesterone

الوصول الحر: https://gup.ub.gu.se/publication/336455Test

المؤلفون: Sjöblom, Nelli, Boyd, Sonja, Manninen, Anniina, Blom, Sami, Knuuttila, Anna, Färkkilä, Martti, Arola, Johanna

المساهمون: Orionin Tutkimussäätiö, Suomen Lääketieteen Säätiö, Mary och Georg C. Ehrnrooths Stiftelse, Syöpäsäätiö, Sigrid Juséliuksen Säätiö

المصدر: Hepatology Research ; volume 53, issue 4, page 322-333 ; ISSN 1386-6346 1872-034X

الإتاحة: https://doi.org/10.1111/hepr.13867Test

المؤلفون: Sjöblom, Nelli, Boyd, Sonja, Manninen, Anniina, Knuuttila, Anna, Blom, Sami, Färkkilä, Martti, Arola, Johanna

المساهمون: HUSLAB, Department of Pathology, University of Helsinki, Helsinki University Hospital Area, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Department of Medicine, Clinicum, Gastroenterologian yksikkö

مصطلحات موضوعية: Artificial intelligence, AI model, Machine learning, Primary sclerosing cholangitis, Cholestasis, Liver histology, 3111 Biomedicine

وصف الملف: application/pdf

العلاقة: Grants to support and facilitate this project were received from the HUH Diagnostic Centre, Competitive research funding of HUH, The Finnish Association of Transplantational Surgery, the Sigrid Juselius Foundation, and The Mary and George Ehrnrooth Foundation.; Sjöblom , N , Boyd , S , Manninen , A , Knuuttila , A , Blom , S , Färkkilä , M & Arola , J 2021 , ' Chronic cholestasis detection by a novel tool : automated analysis of cytokeratin 7-stained liver specimens ' , Diagnostic Pathology , vol. 16 , no. 1 , 41 . https://doi.org/10.1186/s13000-021-01102-6Test; ORCID: /0000-0002-0250-8559/work/95558285; ORCID: /0000-0002-3360-6645/work/95559674; 0c113293-2c43-4630-9c60-88509125df41; http://hdl.handle.net/10138/330979Test; 000647734300001

الإتاحة: http://hdl.handle.net/10138/330979Test

المؤلفون: Brück, Oscar, Dufva, Olli, Hohtari, Helena, Blom, Sami, Turkki, Riku, Ilander, Mette, Kovanen, Panu, Pallaud, Celine, Ramos, Pedro Marques, Lähteenmäki, Hanna, Välimäki, Katja, El Missiry, Mohamed, Ribeiro, Antonio, Kallioniemi, Olli, Porkka, Kimmo, Pellinen, Teijo, Mustjoki, Satu

المساهمون: Hematologian yksikkö, HUS Comprehensive Cancer Center, Department of Oncology, TRIMM - Translational Immunology Research Program, Research Programs Unit, University of Helsinki, Institute for Molecular Medicine Finland, Research Group Kallioniemi Olli, Integrins in immunity, HUSLAB, Medicum, Department of Pathology, Precision Systems Medicine, Department of Clinical Chemistry and Hematology

مصطلحات موضوعية: NK CELLS, CANCER, EXPRESSION, DIAGNOSIS, MICROENVIRONMENT, CHEMOTHERAPY, RESISTANCE, SELECTION, SUBSETS, THERAPY, 3122 Cancers

وصف الملف: application/pdf

العلاقة: LThe authors are grateful to the members of the Hematology Research Unit Helsinki for discussions and technical help. They thank the Helsinki Biobank and the Digital and Molecular Pathology Unit supported by Helsinki University and Biocenter Finland for digital microscopy services.; Brück , O , Dufva , O , Hohtari , H , Blom , S , Turkki , R , Ilander , M , Kovanen , P , Pallaud , C , Ramos , P M , Lähteenmäki , H , Välimäki , K , El Missiry , M , Ribeiro , A , Kallioniemi , O , Porkka , K , Pellinen , T & Mustjoki , S 2020 , ' Immune profiles in acute myeloid leukemia bone marrow associate with patient age, T-cell receptor clonality, and survival ' , Blood advances , vol. 4 , no. 2 , pp. 274-286 . https://doi.org/10.1182/bloodadvances.2019000792Test; ORCID: /0000-0002-8690-6983/work/70948151; ORCID: /0000-0002-1510-8319/work/70949142; ORCID: /0000-0002-1878-8911/work/70949183; ORCID: /0000-0002-0816-8241/work/70951993; ORCID: /0000-0003-4112-5902/work/70953050; ORCID: /0000-0002-7842-9419/work/137864734; 325eb63e-a2f0-4854-8a46-ee5986d64569; http://hdl.handle.net/10138/327274Test; 000510001000006

الإتاحة: http://hdl.handle.net/10138/327274Test

المؤلفون: Laury, Anna Ray, Blom, Sami, Ropponen, Tuomas, Virtanen, Anni, Carpen, Olli Mikael

المساهمون: Research Program in Systems Oncology, Research Programs Unit, HUSLAB, HUS Diagnostic Center, Department of Pathology, Precision Cancer Pathology, Olli Mikael Carpen / Principal Investigator, Digital Precision Cancer Medicine (iCAN)

مصطلحات موضوعية: LONG-TERM SURVIVORS, OVARIAN-CANCER, CLINICOPATHOLOGICAL FEATURES, MUTATION-STATUS, WOMEN, PATTERNS, BRCA1, 3111 Biomedicine, 3122 Cancers

وصف الملف: application/pdf

العلاقة: This study was funded by the University of Helsinki Doctoral Programme in Clinical Research, Suomen Laaketieteen Saatio, Orion Research Foundation sr, HUS Diagnostic Center, the European Union's Horizon 2020 research and innovation programme under Grant Agreement Nos 667403 for HERCULES and 965193 for DECIDER, Finnish Cancer Foundation, Sigrid Juselius Foundation and Finska Lakaresalskapet. ARL is a doctoral student. Anna-Maria Mende and Jani Salmi are acknowledged for collecting clinical information.; Laury , A R , Blom , S , Ropponen , T , Virtanen , A & Carpen , O M 2021 , ' Artificial intelligence-based image analysis can predict outcome in high-grade serous carcinoma via histology alone ' , Scientific Reports , vol. 11 , no. 1 , 19165 . https://doi.org/10.1038/s41598-021-98480-0Test; ORCID: /0000-0002-6206-0872/work/104023311; ORCID: /0000-0002-7467-8434/work/104024085; d07d242a-32f8-4a6b-8d49-579a387afb96; http://hdl.handle.net/10138/336881Test; 000700619200066

الإتاحة: http://hdl.handle.net/10138/336881Test

المؤلفون: Vesterinen, Tiina, Säilä, Jenni, Blom, Sami, Pennanen, Mirkka, Leijon, Helena, Arola, Johanna

المصدر: APMIS ; volume 130, issue 1, page 11-20 ; ISSN 0903-4641 1600-0463

الإتاحة: https://doi.org/10.1111/apm.13190Test