Month: May 2019

The Application of Unsupervised Clustering Methods to Alzheimer’s Disease

Clustering is a powerful machine learning tool for detecting structures in datasets. In the medical field, clustering has been proven to be a powerful tool for discovering patterns and structure in labeled and unlabeled datasets. Unlike supervised methods, clustering is an unsupervised method that works on datasets in which there is no outcome (target) variable […]

Published on May 25, 2019

If you could learn every disease your child could possibly develop in life, would you?

Adding genomic sequencing results to traditional newborn screening means a baby could potentially test positive for numerous conditions that might not develop within their lifetime. A new study proposed a method for how to responsibly determine which types of conditions to include in testing and potentially return to parents. Read Full Article (External Site) Dr. […]

Published on May 24, 2019

Simple test can tell if you’re stressed out

Researchers have developed a new test that can easily and simply measure common stress hormones using sweat, blood, urine or saliva. Eventually, they hope to turn their ideas into a simple device that patients can use at home to monitor their health. Read Full Article (External Site) Dr. David LowemannDr. David Lowemann, M.Sc, Ph.D., is […]

Published on May 24, 2019