Research uses data mining to help early identification, prevention of Alzheimer’s disease

Harnessing big dataA University of Texas at Arlington computer scientist will analyze complex data and use imaging genomics to predict a person’s probability of contracting Alzheimer’s disease. Heng Huang, a professor in the Computer Science and Engineering Department , won a five-year, $2 million grant through the National Institutes of Health to use multi-dimensional and longitudinal imaging genomic data to identify biomarkers that may be used for early prediction of Alzheimer’s disease, with the hope that the effects of the disease may be reversed or prevented.