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Article

Predicting type 2 diabetes via machine learning integration of multiple omics from human pancreatic islets.

Scientific reports - 25 Jun 2024

Rönn Tina, Perfilyev Alexander, Oskolkov Nikolay, Ling Charlotte

Abstract excerpt

Type 2 diabetes (T2D) is the fastest growing non-infectious disease worldwide. Impaired insulin secretion from pancreatic beta-cells is a hallmark of T2D, but the mechanisms behind this defect are insufficiently characterized. Integrating multiple layers of biomedical information, such as different Omics, may allow more accurate understanding of complex diseases such as T2D. Our aim was to explore and use Machine...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38918439
DOI: 10.1038/s41598-024-64846-3
PMCID: PMC11199577

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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