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How artificial intelligence is transforming nephrology
Miguel Hueso1,2, Alfredo Vellido3,4
1Department of Nephrology, Hospital Universitari Bellvitge and Bellvitge Research Institute (IDIBELL), L'Hospitalet de Llobregat, C/Feixa llarga, s/n, Barcelona, 08907, Spain. mhueso@idibell.cat.
Artificial intelligence (AI) and machine learning (ML) offer powerful tools for data-centric nephrology research, analyzing complex molecular systems and patient data. However, translating these AI advancements into clinically useful applications requires explainable methods and addressing the digital divide.
Area of Science:
- Nephrology
- Computational Biology
- Medical Informatics
Background:
- Nephrology research increasingly focuses on complex molecular systems, pathology, and therapeutics like dialysis and transplantation.
- Advances in omics, sensorization, and digital devices generate vast, data-intensive research.
- Data-centric science necessitates powerful computational tools for novel biomarkers and therapeutic targets.
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