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

Yoo, D., Divard, G., Raynaud, M., Cohen, A., Mone, T. D., Rosenthal, J. T., Bentall, A. J., Stegall, M. D., Naesens, M., Zhang, H., Wang, C., Gueguen, J., Kamar, N., Bouquegneau, A., Batal, I., Coley, S. M., Gill, J. S., Oppenheimer, F., De Sousa-Amorim, E., … Loupy, A. (2024). A Machine Learning-Driven Virtual Biopsy System For Kidney Transplant Patients. Nature Communications, 15(1). https://doi.org/10.1038/s41467-023-44595-z
Authors:
Daniel Yoo
Gillian Divard
Marc Raynaud
Anna Cohen
Tom Mone
J. Thomas Rosenthal
Andrew Bentall
Mark D. Stegall
Maarten Naesens
Huanxi Zhang
Changxi Wang
Juliette Gueguen
Nassim Kamar
Antoine Bouquegneau
Ibrahim Batal
Shana M. Coley
John S. Gill
Markus van der Giet
Erika De Sousa–Amorim
Dirk Kuypers
Antoine Dürrbach
Daniel Serón
Marion Rabant
Jean‐Paul Duong Van Huyen
Patricia Campbell
Soroush Shojai
Michael Mengel
Oriol Bestard
Nikolina Bašić‐Jukić
Ivana Jurić
Peter Boor
Lynn D. Cornell
Mariam P. Alexander
Patrick Toby Coates
Christophe Legendre
Peter P. Reese
Carmen Lefaucheur
Olivier Aubert
Alexandre Loupy
Affiliated Authors:
Ibrahim Batal
Shana M. Coley
Columbia Affiliation:
Subjects:
Kidney Transplantation (MeSH)
Kidney Diseases (MeSH)
Diagnosis and Treatment of Renal Artery Stenosis (OpenAlex Topic)
Kidney Transplantation (OpenAlex Topic)
Ethical and Medical Aspects of Organ Donation (OpenAlex Topic)
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Publication Type:
Article
Unique ID:
10.1038/s41467-023-44595-z
PMID:
38228634
DOI:
10.1038/s41467-023-44595-z
Journal:
Nature Communications
Publication Date:
Data Source:
OpenAlex
Source Link:
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