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Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers

14 Nov 2024

Abstract excerpt

BACKGROUND: To utilize machine learning for identifying treatment response genes in diabetic foot ulcers (DFU). METHODS: Transcriptome data from patients with DFU were collected and subjected to comprehensive analysis. Initially, differential expression analysis was conducted to identify genes with significant changes in expression levels between DFU patients and healthy controls. Following this, enrichment...

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Share to Diabetic Foot Ulcer Assessment and Management
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PMID: 39543487
DOI: 10.1186/s10020-024-00955-z

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