Cultural adaptation strengthens cardiovascular disease and diabetes prevention strategies in Latin America
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 14:17 ET (30-Oct-2026 18:17 GMT/UTC)
A 16-week intervention reduced systolic blood pressure by 3.3 mmHg among high-risk workers for diabetes in Loja, Ecuador
Artificial intelligence tools can help physicians predict treatment and survival outcomes in patients with advanced non-small cell lung cancer treated with immunotherapy.
The Family Heart Foundation, a leading research, education and advocacy organization, today announced the publication of a new peer-reviewed study in JACC: Advances demonstrating how its FIND Lp(a)® Machine Learning Model can identify people with atherosclerotic cardiovascular disease (ASCVD) who are more likely to have high lipoprotein(a) — or Lp(a). The model has already been successfully deployed at five large U.S. healthcare systems participating in the FIND Lp(a) Program that aims to catalyze Lp(a) screening. The model’s high level of precision supports targeted Lp(a) screening as a practical approach for healthcare systems working toward implementation of guideline-recommended universal screening.
Researchers at the Faculty of Veterinary Medicine, University of Helsinki have demonstrated that a drug called vatinoxan significantly improves the safety and quality of anaesthesia in rats. The finding can affect a large number of laboratory animals globally since, in Western countries alone, more than one hundred million rodents are estimated to be used every year in biomedical research.
New review in Current Topics in Chemistry brings together decades of research on flavonoids isolated from Erythrina plants, a group long valued in traditional medicine and natural product chemistry.