Renal Failure

Exploring the Mechanisms of Renal Failure with Artificial Intelligence and Multi-omics Data

This Article Collection focuses on "The Application of Artificial Intelligence and Multi-omics Data in the Mechanism Research of Renal Failure", aiming to investigate the pathogenesis, early diagnostic markers, prognosis models, and therapeutic targets of renal failure by integrating multi-dimensional data such as genomics, proteomics, and metabolomics, and combining artificial intelligence and machine learning methods. This Article Collection is dedicated to promoting innovative breakthroughs in nephrology in the fields of precision medicine and clinical translation.

The pathogenesis of renal failure is complex and shows significant individual heterogeneity. Traditional research methods are difficult to comprehensively analyze its multi-level pathophysiological processes. The integration of artificial intelligence and multi-omics technologies can efficiently mine potential patterns in massive data, providing new ideas for disease classification, early intervention, and personalized treatment, significantly enhancing the scientific nature and clinical practicality of nephrology research.

This Article Collection welcomes the following topics:

• Integration analysis of multi-omics data and mechanism exploration
• Development of artificial intelligence models (such as for predicting kidney function and risk assessment)
• Discovery and clinical validation of biomarkers
• Pathway and Target Calculation and Analysis
• Clinical Translation and Personalized Medical Applications
• Data Science and Explainable Artificial Intelligence Innovation
• Preferred article types: Original Research Paper (Article) and Review. Methodologies and applications with potential for clinical translation are encouraged.

Article Collection key terms:

• Artificial intelligence
• Multi-omics integration
• Mechanism of renal failure
• Biomarkers
• Precision nephrology

Article Collection Guest Advisors:

Dr Zhongheng Zhang is Deputy Director of the Emergency Department and Deputy Director of the Zhejiang University Institute of Emergency Medicine. He is Chief Physician, an Associate Professor and Doctoral Supervisor.

­­All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisor for this Collection will not be handling the manuscripts (unless they are an Editorial Board member).

Please review the journal scope and author submission instructions prior to submitting a manuscript.

The deadline for submitting manuscripts is 2nd November 2026.

Please contact Rebecca Kearns at [email protected] with any queries and discount codes regarding this Article Collection.

Please be sure to select the appropriate Article Collection from the drop-down menu in the submission system.

The Guest Advisor for this Article Collection has declared no conflict of interests