A Machine Learning-Driven Virtual Biopsy System For Kidney Transplant Patients

A Machine Learning-Driven Virtual Biopsy System For Kidney Transplant Patients

Abstract In kidney transplantation, day-zero biopsies are used to assess organ quality and discriminate between donor-inherited lesions and those acquired post-transplantation. However, many centers do not perform such biopsies since they are invasive, costly and may delay the transplant procedure....

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Daniel Yoo, Gillian Divard, Marc Raynaud, Aaron Cohen, Tom D. Mone, John Thomas Rosenthal, Andrew J. Bentall, Mark D. Stegall, Maarten Naesens, Huanxi Zhang, Changxi Wang, Juliette Gueguen, Nassim Kamar, Antoine Bouquegneau, Ibrahim Batal, Shana M. Coley, John S. Gill, Federico Oppenheimer, Erika De Sousa-Amorim, Dirk R. J. Kuypers, Antoine Durrbach, Daniel Seron, Marion Rabant, Jean-Paul Duong Van Huyen, Patricia Campbell, Soroush Shojai, Michael Mengel, Oriol Bestard, Nikolina Basic-Jukic, Ivana Jurić, Peter Boor, Lynn D. Cornell, Mariam P. Alexander, P. Toby Coates, Christophe Legendre, Peter P. Reese, Carmen Lefaucheur, Olivier Aubert, Alexandre Loupy
Format: Artykuł
Język:English
Wydane: Nature Portfolio 2024-01-01
Seria:Nature Communications
Dostęp online:https://doi.org/10.1038/s41467-023-44595-z

Internet

https://doi.org/10.1038/s41467-023-44595-z

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