IBM analytics help our researchers fine-tune their aim and match the speed of analysis with the rate of data coming into our systems. Our goal is to demystify why the disease progresses more rapidly in some patients and get those insights back to other researchers, so they can find new treatments.

Dr. Murali Ramanathan, Research Lead, State University of New York at Buffalo (SUNY)

Business Challenge story

As one of the leading multiple sclerosis (MS) research centers in the world, researchers at SUNY Buffalo wanted to identify and understand environmental factors that may contribute to MS.


SUNY Buffalo researchers use a powerful solution that combines data warehouse and analytic capabilities to handle the exponential growth rate of genetic variations involved in breakthrough data-mining methods for gene interaction in disease discovery for MS.


Reduces the time required to conduct gene-environmental interactions analysis by 99 percent, from 27.2 hours to 11.7 minutes

Solution Category

  • IBM Hybrid Cloud
  • Solution Components