Recent advancements in diabetes management have focused on innovative treatment modalities and technologies aimed at improving patient outcomes. A notable study introduced an oral nanotherapeutic formulation of insulin, utilizing insulin-conjugated silver sulfide quantum dots coated with a chitosan/glucose polymer. This formulation demonstrated pH responsiveness, remaining insoluble in acidic environments while enhancing absorption in human duodenum explants and Caenorhabditis elegans at neutral pH, potentially reducing hypoglycemic episodes associated with traditional injectable insulin (ref: Hunt doi.org/10.1038/s41565-023-01565-2/). In another significant development, a deep learning system named DeepDR Plus was validated using a multiethnic dataset of 118,868 images from 29,868 diabetes patients, successfully predicting individualized risk and time to diabetic retinopathy (DR) progression over five years, which could facilitate personalized screening intervals (ref: Dai doi.org/10.1038/s41591-023-02702-z/). Furthermore, glucagon-like peptide-1 receptor agonists (GLP-1 RAs) were shown to lower the risk of major adverse liver outcomes in patients with chronic liver disease and type 2 diabetes, with a 10-year risk estimate of 7.4% for those adhering to therapy compared to 14.4% for non-adherents (ref: Wester doi.org/10.1136/gutjnl-2023-330962/). Empagliflozin was also highlighted for its effectiveness in reducing liver fat content in individuals with and without diabetes, indicating its potential metabolic benefits beyond glycemic control (ref: Abdelgani doi.org/10.2337/dc23-1646/). Lastly, a real-world study comparing automated insulin delivery systems during Ramadan showed that users experienced significantly better glycemic control and a higher percentage achieving dual targets compared to conventional treatment modalities (ref: Al-Sofiani doi.org/10.2337/dc23-1968/).