Machine learning IDs biomarkers for Alzheimer’s disease

Researchers at the University of Southern California Viterbi School of Engineering have utilized machine learning to detect clusters of potential biomarkers of Alzheimer’s disease. This will allow for earlier diagnosis and could potentially lead to non-invasive methods of tracking the progression of the disease in impacted patients. Findings were published in the journal Frontiers in Aging NeuroScience.

Women undergo unnecessary mammograms before breast reduction surgery

Although recent recommendations—such as those released in 2014 from the American Society of Plastic Surgeons—say routine mammograms should be completely avoided before surgery unless breast cancer risks exist, research published in JAMA Surgery found that one-third of women younger than 40 undergo mammography exams before breast reduction surgery.