Data Mining Detects Signs Of Lou Gehrig’s Disease In Gene Carriers Long Before Symptoms Appear, University of Maryland Study

ScienceDaily (Aug. 5, 2008) — Inspired by the use of microarray chips that look for gene combinations, psychologists are using “pattern array” software to spot movements in rats that might help them predict diseases such as Lou Gehrig’s syndrome. A report in the August issue of Behavioral Neuroscience, published by the American Psychological Association, describes how this novel use of data mining may enable investigators to test therapies to delay or even prevent disease, starting with hereditary forms.

MORE ON THIS TOPIC