Monu Pandey

Abstract Artificial intelligence (AI) is rapidly becoming embedded in diabetes care, yet workforce impact is still framed mainly in terms of “jobs replaced,” masking the more important reality: clinical work changes at the level of tasks. This study identifies the core task families in diabetes management and maps how AI transforms them through three pathways—substitution, augmentation, and rebundling then explains why these shifts occur using a theoretically grounded, causal framework.

A glucose-responsive alginate-based hydrogel laden with modified GLP-1 and telmisartan ameliorates type 2 diabetes and reduces liver and kidney toxicities† The pathophysiology associated with type 2 diabetes mellitus (T2DM) includes insulin resistance, increased oxidative stress, a pro-inflammatory macrophage population, and dysfunction of pancreatic β cells in the islets of Langerhans, along with hepato- and nephro-toxicity.

Department of Biomedical Engineering, All India Institute of Medical Science, Delhi, 110608, India Department of Biomedical Engineering, All India Institute of Medical Science, Delhi, 110608, India Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The occurrence of CRC is associated with various genetic and epigenetic mutations in intestinal epithelial cells that transform them into adenocarcinomas.