Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Tarjei S. Hveem"'
Autor:
Wanja Kildal, Karolina Cyll, Joakim Kalsnes, Rakibul Islam, Frida M. Julbø, Manohar Pradhan, Elin Ersvær, Neil Shepherd, Ljiljana Vlatkovic, Xavier Tekpli, Øystein Garred, Gunnar B. Kristensen, Hanne A. Askautrud, Tarjei S. Hveem, Håvard E. Danielsen, Tone F. Bathen, Elin Borgen, Anne-Lise Børresen-Dale, Olav Engebråten, Britt Fritzman, Olaf Johan Hartman-Johnsen, Jürgen Geisler, Gry Aarum Geitvik, Solveig Hofvind, Rolf Kåresen, Anita Langerød, Ole Christian Lingjærde, Gunhild M. Mælandsmo, Bjørn Naume, Hege G. Russnes, Kristine Kleivi Sahlberg, Torill Sauer, Helle Kristine Skjerven, Ellen Schlichting, Therese Sørlie
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e32529- (2024)
We aimed to develop deep learning (DL) models to detect protein expression in immunohistochemically (IHC) stained tissue-sections, and to compare their accuracy and performance with manually scored clinically relevant proteins in common cancer types.
Externí odkaz:
https://doaj.org/article/e0dc5fe8cfec49769db7555ff4402d86
Autor:
Dan Jiang, Tarjei S. Hveem, Mark Glaire, David N. Church, David J. Kerr, Li Yang, Håvard E. Danielsen
Publikováno v:
EBioMedicine, Vol 71, Iss , Pp 103547- (2021)
Background: Tumor development is critically dependent on the supporting stroma consisting of inflammatory cells and fibroblasts. This study intended to improve prognostic prediction for early colorectal cancer (CRC) by combined estimation of T-lympho
Externí odkaz:
https://doaj.org/article/baeeb2c3ab634364ab37fa6521d1cd05
Autor:
Ioannis Panagopoulos, Marta Brunetti, Margrethe Stoltenberg, Rønnaug A. U. Strandabø, Julie Staurseth, Kristin Andersen, Ilyá Kostolomov, Tarjei S. Hveem, Susanne Lorenz, Tove Anita Nystad, Trond Flægstad, Francesca Micci, Sverre Heim
Publikováno v:
Experimental Hematology & Oncology, Vol 8, Iss 1, Pp 1-8 (2019)
Abstract Background Many cases of acute lymphoblastic leukemia (ALL) carry visible acquired chromosomal changes of pathogenetic, diagnostic, and prognostic importance. Nevertheless, from one-fourth to half of newly diagnosed ALL patients have no visi
Externí odkaz:
https://doaj.org/article/13b4b065f7d140f5873cb80ec0e7758d
Autor:
Andreas Kleppe, Ole-Johan Skrede, Sepp De Raedt, Tarjei S Hveem, Hanne A Askautrud, Jørn E Jacobsen, David N Church, Arild Nesbakken, Neil A Shepherd, Marco Novelli, Rachel Kerr, Knut Liestøl, David J Kerr, Håvard E Danielsen
Publikováno v:
The Lancet Oncology. 23:1221-1232
The DoMore-v1-CRC marker was recently developed using deep learning and conventional haematoxylin and eosin-stained tissue sections, and was observed to outperform established molecular and morphological markers of patient outcome after primary color
Autor:
Håvard E. Danielsen, Jone Trovik, Helga B. Salvesen, Knut Liestøl, Fritz Albregtsen, Line Bjørge, Henrica M.J. Werner, Frederic Amant, Margaret S. Lode, Jostein Tjugum, Jan A. Rokne, Klaus Oddenes, Runar Eraker, Hans K. Haugland, Anne C. Staff, Solveig Tingulstad, Janusz Marcickiewicz, Manohar Pradhan, Wanja Kildal, Marna L. Kjæreng, John Arne Nesheim, Rolf Anders Syvertsen, Birgitte Nielsen, Tormund S. Njølstad, Tarjei S. Hveem
Supplementary information describing the Nucleotyping method in more detail, including the training and validation results for the calculated Nucleotyping features.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d7506a7f8319d75d9bff66f55f44cd4
https://doi.org/10.1158/1055-9965.22436458.v1
https://doi.org/10.1158/1055-9965.22436458.v1
Autor:
Håvard E. Danielsen, Jone Trovik, Helga B. Salvesen, Knut Liestøl, Fritz Albregtsen, Line Bjørge, Henrica M.J. Werner, Frederic Amant, Margaret S. Lode, Jostein Tjugum, Jan A. Rokne, Klaus Oddenes, Runar Eraker, Hans K. Haugland, Anne C. Staff, Solveig Tingulstad, Janusz Marcickiewicz, Manohar Pradhan, Wanja Kildal, Marna L. Kjæreng, John Arne Nesheim, Rolf Anders Syvertsen, Birgitte Nielsen, Tormund S. Njølstad, Tarjei S. Hveem
Background: Most endometrial carcinoma patients are diagnosed at an early stage with a good prognosis. However, a relatively low fraction with lethal disease constitutes a substantial number of patients due to the high incidence rate. Preoperative id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39782c2a93a99729dc730112dbb5c0d2
https://doi.org/10.1158/1055-9965.c.6515410
https://doi.org/10.1158/1055-9965.c.6515410
Autor:
Elin Ersvær, Marco Novelli, Knut Liestøl, Håkon Wæhre, Karolina Cyll, Manohar Pradhan, Hanne A. Askautrud, Wanja Kildal, Håvard E. Danielsen, Tarjei S. Hveem, Ljiljana Vlatkovic, Andreas Kleppe
Publikováno v:
Modern Pathology
The mitotic checkpoint protein BUB3, cyclin B1 (CCNB1) and pituitary tumor-transforming 1 (PTTG1) regulates cell division, and are sparsely studied in prostate cancer. Deregulation of these genes can lead to genomic instability, a characteristic of m
Autor:
Ljiljana Vlatkovic, Håkon Wæhre, David J. Kerr, Elin Ersvær, Andreas Kleppe, Kari Anne R. Tobin, Håvard E. Danielsen, Tarjei S. Hveem, Bjørn Brennhovd, Karolina Cyll, Manohar Pradhan
Publikováno v:
International Journal of Cancer. 147:1228-1234
The combination of DNA ploidy and automatically estimated stroma fraction has been shown to correlate with recurrence and cancer death in colorectal cancer. We aimed to extend this observation and evaluate the prognostic importance of this combined m
Autor:
Tarjei S. Hveem, Mark A. Glaire, Håvard E. Danielsen, Dan Jiang, Li Yang, David J. Kerr, David N. Church
Publikováno v:
EBioMedicine, Vol 71, Iss, Pp 103547-(2021)
Background Tumor development is critically dependent on the supporting stroma consisting of inflammatory cells and fibroblasts. This study intended to improve prognostic prediction for early colorectal cancer (CRC) by combined estimation of T-lymphoc
Autor:
Marta Brunetti, Ioannis Panagopoulos, Valeria Vitelli, Kristin Andersen, Tarjei S. Hveem, Ben Davidson, Ane Gerda Z. Eriksson, Pernille Kristina Bjerre Trent, Sverre Heim, Francesca Micci
Publikováno v:
Cancers; Volume 14; Issue 14; Pages: 3536
Endometrial carcinomas (ECs) are histologically classified as endometrioid and nonendometrioid tumors, with each subgroup displaying different molecular profiles and clinical outcomes. Considerable biological and clinical heterogeneity exists within