Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Céline Jacques"'
Autor:
Matteo Rossi, Mikhail Steklov, Fanny Huberty, Thuy Nguyen, Jérôme Marijsse, Céline Jacques-Hespel, Paul Najm, Caroline Lonez, Eytan Breman
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 34, Iss , Pp 102038- (2023)
Genome engineering technologies are powerful tools in cell-based immunotherapy to optimize or fine-tune cell functionalities. However, their use for multiple gene edits poses relevant biological and technical challenges. Short hairpin RNA (shRNA)-bas
Externí odkaz:
https://doaj.org/article/6612d3e5f3c04f28ab6f4e335c57c900
Autor:
Eytan Breman, Benjamin Demoulin, Sophie Agaugué, Sebastien Mauën, Alexandre Michaux, Lorraine Springuel, Julien Houssa, Fanny Huberty, Céline Jacques-Hespel, Céline Marchand, Jérôme Marijsse, Thuy Nguyen, Nancy Ramelot, Benjamin Violle, Dorothée Daro, Peter De Waele, David E. Gilham, Valérie Steenwinckel
Publikováno v:
Frontiers in Immunology, Vol 9 (2018)
Chimeric Antigen Receptor (CAR) T cells expressing the fusion of the NKG2D protein with CD3ζ (NKG2D-CAR T Cells) acquire a specificity for stress-induced ligands expressed on hematological and solid cancers. However, these stress ligands are also tr
Externí odkaz:
https://doaj.org/article/3a89e9c594694720a2cb44b8f7218adf
Autor:
Alexandre, Michaux, Sébastien, Mauën, Eytan, Breman, Marie-Sophie, Dheur, Laure, Twyffels, Laura, Saerens, Céline, Jacques-Hespel, Emilie, Gauthy, Sophie, Agaugué, David E, Gilham, Panagiota A, Sotiropoulou
Publikováno v:
Journal of Immunotherapy. 45:150-161
Allogeneic chimeric antigen receptor (CAR) T holds the promise of taking this therapeutic approach to broader patient populations while avoiding the intensive manufacturing demands of autologous cell products. One limitation to delivering an allogene
Autor:
Andrew J. Drakeley, Chris-Alexandre Pena, Hoor Alshubbar, Céline Jacques, Cristina Hickman, J Chambost, Thomas Fréour
Publikováno v:
Fertility and Sterility. 114:927-933
The extension of blockchain use for nonfinancial domains has revealed opportunities to the health care sector that answer the need for efficient and effective data and information exchanges in a secure and transparent manner. Blockchain is relatively
Autor:
Chloe He, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Koen Wouters, Thomas Fréour, Nikica Zaninovic, Cristina Hickman, Francisco Vasconcelos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b431d8200b607e599a0bb98db7e14c86
https://doi.org/10.1007/978-3-031-16434-7_70
https://doi.org/10.1007/978-3-031-16434-7_70
Publikováno v:
Human Reproduction. 36
Study question What other cell junction factors can be easily characterised from imagery of 4-cell embryos to assist in embryo classification and prediction of viability? Summary answer 4-cell embryo grading should not only account for symmetry and f
Publikováno v:
Human Reproduction. 36
Study question Can Machine Learning predict ploidy status from embryo evolutive morphological parameters in a non intrusive way? Summary answer Reporting cumulative embryo scoring from early development days and feed it to machine learning algorithms
Autor:
J Chambost, Nikica Zaninovic, Rishabh Hariharan, Jonas Malmsten, P He, T Ebner, R Azambuja, F Macedo, K Wouters, H Va. d. Velde, Klaus Wiemer, Thomas Fréour, Céline Jacques, Cristina Hickman, M Badalotti
Publikováno v:
Human Reproduction. 36
Study question Is it possible to automate the process of detecting individual blastomeres within a 4-cell embryo? Summary answer Deep learning models are capable of identifying individual cells in single focal plane images of 4-cell embryos. What is
Publikováno v:
Human Reproduction. 36
Study question Can Machine Learning predict multiple pregnancy based on data specific to the embryos and the patient? Summary answer Embryo data are useful in determining which embryos are likely to lead to multiple pregnancy. Patient age has low pre
Autor:
B Cunegatto, P He, Céline Jacques, Cristina Hickman, C Dutra, Marta Ribeiro Hentschke, Andrew J. Drakeley, J Chambost, Rishabh Hariharan, S Loubersac, M Rosselot, Qiansheng Zhan, R Miller, K Kelley, G Verheyen
Publikováno v:
Human Reproduction. 36
Study question Is a pre-trained machine learning algorithm able to accurately detect cellular arrangement in 4-cell embryos from a different continent? Summary answer Artificial Intelligence (AI) analysis of 4-cell embryo classification is transferab