id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
futech-391	Li, Wenning; Perumal Chandran, Suriyakala	Machine Learning-based integration of multi-omics data for identification of tubular epithelial cell-specific biomarkers in diabetic nephropathy	2025	11	.pdf	application/pdf	8028	393	27	Second, most published studies have employed single-omics approaches that fail to capture the multi- dimensional molecular complexity of diabetic kidney disease The enriched pathways encompass diverse cellular functions, including apoptosis regulation, metabolic dysfunction, and fibrosis progression, reflecting the complex pathophysiological landscape of diabetic kidney disease at the tubular epithelial cell level.	cache/futech-391.pdf	txt/futech-391.txt