MINI REVIEW article
Front. Med.
Sec. Nephrology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1680813
Revolutionizing renal biopsy: the emerging role of omics and artificial intelligence in nephrology
Provisionally accepted
Nasar Alwahaibi*
Maryam Alwahaibi- College of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman
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Abstract Renal biopsies remain indispensable in the diagnosis and management of renal diseases, offering critical histopathological insights that guide clinical decisions. Recent advances in artificial intelligence (AI) and multi-omics technologies have begun to transform renal pathology by enabling deeper molecular profiling, enhanced diagnostic precision, and personalized treatment strategies. Despite these promising developments, challenges such as implementation complexity, cost, and limited integration into routine clinical workflows have slowed widespread adoption. Notably, a significant gap exists in the literature regarding how these modern technologies are applied to maximize the diagnostic and prognostic value of renal biopsies. This mini-review highlights emerging applications of AI and omics in renal biopsy interpretation, emphasizing their potential to transform diagnostic approaches in precision nephrology. It aims to inform nephrologists, renal pathologists, and researchers about the evolving landscape of renal diagnostics, while highlighting areas for further clinical integration and interdisciplinary collaboration.
Keywords: renal biopsy, OMICS techniques, artificial intelligence, deep learning, precision nephrology
Received: 06 Aug 2025; Accepted: 20 Oct 2025.
Copyright: © 2025 Alwahaibi and Alwahaibi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Nasar Alwahaibi, nasar@squ.edu.om
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