ARMONK, N.Y. April 26, 2012 IBM State University of New York SUNY) at Buffalo
As part of the initiative, Researchers will tap into IBM’s analytics technology to develop algorithms for big data containing genomic datasets to uncover critical factors that speed up disease progression in MS patients. Insights gained from the research will be shared with hundreds of doctors to better tailor individual treatments to slow brain injury, physical disability and cognitive impairments caused by MS.
Using an IBM Netezza analytics appliance with software from IBM business partner, Revolution Analytics, researchers can now analyze all the disparate data in a matter of minutes instead of days, regardless of what type or size it is. The technology automatically consumes and analyzes the data, and makes the results available for further analysis. As a result, researchers can now focus their time on analyzing trends instead of managing data.
MS is a chronic neurological disease for which there is no cure. The disease is believed to be caused by a combination of genetic, environmental, infectious and autoimmune factors making treatment difficult. According to the National Multiple Sclerosis Society, there are approximately 400,000 people in the US with MS, and 200 people are diagnosed every week. Worldwide, MS is estimated to affect more than 2.1 million people.
Murali Ramanathan SUNY Buffalo
Dan Pelino SUNY Buffalo
IBM Netezza appliances are optimized systems based on IBM BladeCenter technology that can analyze petabytes of data significantly faster than competing options, and at a much lower total cost of ownership. Unlike competing appliances, Netezza can be up and running in minutes instead of days or weeks.
Payal Patel Cudia