A machine learning model can effectively predict a patient’s risk for a sleep disorder using demographic and lifestyle data, physical exam results and laboratory values, according to a new study published this week in the open-access journal PLOS ONE by Samuel Y. Huang of Virginia Commonwealth University School of Medicine, and Alexander A. Huang of Northwestern Feinberg University School of Medicine, U.S.
As a health and wellness enthusiast, I have always been interested in the role of supplements in promoting optimal health. In Canada, there are many supplements available on the market, each with different benefits and […]
You deserve the best of the best when it comes to taking care of your skin, and that’s exactly what you’ll get with Eminence Organic Skin Care. With over 60 years of experience in professional organic […]
Researchers have recently found that several long-lasting human-made contaminants have been building up in Arctic lakes, polar bears and ringed seals and other wildlife. These contaminants belong to a family of chemicals called polyfluoroalkyl and perfluoroalkyl substances (PFAS), […]