A large observational study found small but potentially meaningful differences in cardiovascular safety among sulfonylureas compared to DPP-4 inhibitors in type 2 diabetes, with glipizide showing a statistically higher risk of MACE. A separate study revealed that over half of advanced-stage lung and colorectal cancer cases involved missed diagnostic opportunities, highlighting systemic delays in workups and follow-up. Finally, the EchoNext deep learning model accurately predicted structural heart disease from ECG data alone, outperforming cardiologists and showing potential for scalable, cost-effective screening. These findings underscore the importance of individualized treatment, earlier cancer detection, and AI-enabled cardiac diagnostics.