Zobrazeno 1 - 10
of 294
pro vyhledávání: '"Theilgaard P"'
Autor:
Lassen, Jacob Theilgaard, Kragh, Mikkel Fly, Rimestad, Jens, Johansen, Martin Nygård, Berntsen, Jørgen
This work describes the development and validation of a fully automated deep learning model, iDAScore v2.0, for the evaluation of embryos incubated for 2, 3, and 5 or more days. The model is trained and evaluated on an extensive and diverse dataset i
Externí odkaz:
http://arxiv.org/abs/2210.02120
Publikováno v:
Genetics Selection Evolution, Vol 39, Iss 2, Pp 207-223 (2007)
Abstract The aim of the present study was to investigate differences in reproductive and body traits during successive parities between two genetic lines. The LP line was constituted by means of selection of animals having an extremely high number of
Externí odkaz:
https://doaj.org/article/a8fed9ead8634ec883de2dd9ecacd3c3
Autor:
Sophia Engelhard, Montserrat Estruch, Shuyu Qin, Christoph A. Engelhard, Francisco G. Rodriguez-Gonzalez, Martine Drilsvik, Javier Martin-Gonzalez, Jeng-Wei Lu, David Bryder, Claus Nerlov, Joachim Weischenfeldt, Kristian Reckzeh, Kim Theilgaard-Mönch
Publikováno v:
Cell Reports, Vol 43, Iss 7, Pp 114475- (2024)
Summary: Endomucin (EMCN) currently represents the only hematopoietic stem cell (HSC) marker expressed by both murine and human HSCs. Here, we report that EMCN+ long-term repopulating HSCs (LT-HSCs; CD150+CD48−LSK) have a higher long-term multi-lin
Externí odkaz:
https://doaj.org/article/3dfc405563e042acaabd1378d8d20651
Publikováno v:
Acta Veterinaria Scandinavica, Vol 44, Iss Suppl 1, p P122 (2003)
Externí odkaz:
https://doaj.org/article/872d34ef33604103a66324f11654d2cc
Assessing and selecting the most viable embryos for transfer is an essential part of in vitro fertilization (IVF). In recent years, several approaches have been made to improve and automate the procedure using artificial intelligence (AI) and deep le
Externí odkaz:
http://arxiv.org/abs/2103.07262
Autor:
Jacob Theilgaard Lassen, Mikkel Fly Kragh, Jens Rimestad, Martin Nygård Johansen, Jørgen Berntsen
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract This work describes the development and validation of a fully automated deep learning model, iDAScore v2.0, for the evaluation of human embryos incubated for 2, 3, and 5 or more days. We trained and evaluated the model on an extensive and di
Externí odkaz:
https://doaj.org/article/70e12fafb43940a3aca04a4f6ca57aa8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kim Theilgaard-Mönch, Sachin Pundhir, Kristian Reckzeh, Jinyu Su, Marta Tapia, Benjamin Furtwängler, Johan Jendholm, Janus Schou Jakobsen, Marie Sigurd Hasemann, Kasper Jermiin Knudsen, Jack Bernard Cowland, Anna Fossum, Erwin Schoof, Mikkel Bruhn Schuster, Bo T. Porse
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Here the authors show that differentiation of haematopoietic stem cells into mature blood cells is primed by cell type-specific transcription factors at the enhancer level during early differentiation, before they confere promoter-driven growth arres
Externí odkaz:
https://doaj.org/article/c8be37de68644952b82321d25c3ff0a5
Autor:
Stendal, Maja, Pedersen, Charlotte Gjørup, Taps, Julie, Sevel, Claus Theilgaard, Pedersen, Pernille
Publikováno v:
International Journal Of Therapy & Rehabilitation; September 2024, Vol. 31 Issue: 9 p1-12, 12p