Researchers are using big data analytics to help improve the quality of life of multiple sclerosis patients. To improve health care, researchers are using big data analytics to bring advances to the medical field. For example, at the State University of New York (SUNY) in Buffalo researchers are using data from patients with multiple sclerosis to analyze the effectiveness of current drugs and treatments alongside the individual’s personal health records and the progression of the disease. In doing so they hope to identify which elements of existing treatment prove successful, on whom, when and why. Experts believe this kind of linking of intelligence and a holistic approach to health care will speed up our understanding of diseases and potentially our ability to cure them.
Our panel of experts will also discuss these topics:
- Multiple sclerosis research, big data analytics and the drive to slow down the progress of the disease
- Can we really unify all the siloed, fragmented health care data out there?
- Examples of linking intelligence together for better health care
- What will it take to provide real-time data in clinical decision support?
Register here and join GigaOM Pro and our sponsor IBM Netezza for “Health and life sciences get a healthy dose of big data.” This free analyst roundtable webinar takes place on Wednesday, Sept. 19, 2012, at 12 p.m. PDT.