Researchers from the University of Minnesota Medical School, in collaboration with Emory University and the Georgia Institute of Technology, have developed a new artificial intelligence (AI) biomarker tool that may help predict how ovarian cancer patients will respond to treatment at the time of diagnosis.
This article was originally published on MedicalXpress.com
By Daniel Zane Bryant, author of “Living with Food Allergies: A Complete Lifestyle Guide” (available on Amazon at https://www.amazon.com/dp/B0G2BcGB2K) Navigating food allergies might initially feel overwhelming, yet it presents an exciting opportunity to reimagine familiar […]
Almost half of all Canadians regularly take at least one nutritional supplement such as vitamins, minerals, fibre supplements, antacids and fish oils. Many of these individuals are healthy and hoping to improve general well-being or prevent chronic […]
Whether you jog to keep fit or compete in marathons, the physically demanding sport of running can deplete the body of essential nutrients. During a race like a half-marathon, a runner’s metabolism — or ability […]
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