Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Artificial intelligence and perspective for rare genetic kidney diseases.

Kidney international - 1 Sept 2025

Chen Xiaoyi, Burgun Anita, Boyer Olivia, Knebelmann Bertrand, Garcelon Nicolas

Abstract excerpt

The integration of big data and artificial intelligence (AI) has revolutionized biomedicine, enhancing our understanding of diseases and health care practices. Although AI has shown remarkable success in some medical fields, its application in nephrology faces challenges because of the complex disease mechanisms and intricate physiology. These obstacles are further compounded in rare diseases, affecting <1 in...

Read the complete abstract on PubMed

Topics

Humans
Artificial Intelligence
Kidney Diseases
Rare Diseases
Nephrology
Big Data
Phenotype

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40545136
DOI: 10.1016/j.kint.2025.03.033

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 25 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Artificial intelligence and perspective for rare genetic kidney diseases.PMID 40545136Read ↗

Genetics of Kidney Disease: The Unexpected Role of Rare Disorders.Semantic proximity Read ↗

Artificial Intelligence in the Diagnosis of Pediatric Rare Diseases: From Real World Data Towards a Personalized Medicine ApproachSemantic proximity Read ↗

Resolving the classification rates and molecular architecture of early-onset chronic kidney disease with NephVarSemantic proximity Read ↗

AI and Precision Medicine: Paving the Way for Future TreatmentSemantic proximity Read ↗

AI-Driven Detection of Inherited Neurological Disorders Using Genomic and Multi-Omics DataSemantic proximity Read ↗

Machine learning, the kidney, and genotype-phenotype analysis.Semantic proximity Read ↗

Artificial intelligence, physiological genomics, and precision medicineSemantic proximity Read ↗

GeNepher data- and biobank for patients with (suspected) genetic kidney disease: rationale, design and status updateSemantic proximity Read ↗

Automatic variant prioritization in suspected genetic kidney disease using the Nephro Candidate Score (N-CS)Semantic proximity Read ↗

Complexities in Variant Analysis, Classification, and Interpretation in Kidney Disease-Related Genes.Semantic proximity Read ↗

Artificial Intelligence and Genomic Data Analysis: New Frontiers in Precision MedicineSemantic proximity Read ↗

Artificial intelligence in clinical geneticsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.