Using machine learning to examine pre-transplant factors influencing De novo HLA-specific antibody development post-kidney transplant.

Saved in:

Bibliographic Details
Title:	Using machine learning to examine pre-transplant factors influencing De novo HLA-specific antibody development post-kidney transplant.
Authors:	Nita GE; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom; Royal Liverpool University Hospital, NHS University Hospitals of Liverpool Group, Mount Vernon Street, Liverpool L7 8YE, United Kingdom. Electronic address: george.nita@liverpool.ac.uk., Rothwell A; Computational Biology Facility, Liverpool Shared Research Facilities, University of Liverpool, Liverpool L69 7ZB, United Kingdom., Howse M; Royal Liverpool University Hospital, NHS University Hospitals of Liverpool Group, Mount Vernon Street, Liverpool L7 8YE, United Kingdom., Ridgway D; Royal Liverpool University Hospital, NHS University Hospitals of Liverpool Group, Mount Vernon Street, Liverpool L7 8YE, United Kingdom., Hammad A; Royal Liverpool University Hospital, NHS University Hospitals of Liverpool Group, Mount Vernon Street, Liverpool L7 8YE, United Kingdom., Mehra S; Royal Liverpool University Hospital, NHS University Hospitals of Liverpool Group, Mount Vernon Street, Liverpool L7 8YE, United Kingdom., Jones AR; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom; Computational Biology Facility, Liverpool Shared Research Facilities, University of Liverpool, Liverpool L69 7ZB, United Kingdom., Goldsmith P; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom; Royal Liverpool University Hospital, NHS University Hospitals of Liverpool Group, Mount Vernon Street, Liverpool L7 8YE, United Kingdom.
Source:	Transplant immunology [Transpl Immunol] 2025 Sep; Vol. 92, pp. 102269. Date of Electronic Publication: 2025 Aug 06.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9309923 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5492 (Electronic) Linking ISSN: 09663274 NLM ISO Abbreviation: Transpl Immunol Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1878-5492
DOI:	10.1016/j.trim.2025.102269