Computational intelligence opens up new avenues in Alzheimer's research

Tuesday, October 9, 2012 - 10:31 in Health & Medicine

Researchers have used machine learning and data mining techniques to compare gene expresssion levels in Alzheimer's disease (AD) patients in two key regions of the hippocampus: the dentate gyrus, where the disease appears to have little or no effect, and the entorhinal cortex, where Alzheimer's disease produces major neuronal damage. The results corroborate previous findings by other studies and set forth new working hypotheses for AD research.

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