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ARMONK, N.Y. and
May 16, 2013 /PRNewswire/ --
regulated information -- UCB and IBM (NYSE:IBM) today announced the completion of the initial phase of a project designed to harness the power of analytics to help healthcare providers deliver more highly personalized care to people living with epilepsy. The milestone marks the critical first step in the path towards eventually harnessing the transformative power of cognitive computing capabilities, such as IBM Watson, for epilepsy care.
The goal of the project is to deliver an interactive system that translates massive amounts of patient data and scientific literature into insights that healthcare providers can consult at the point of care to inform their treatment decisions.
Together, UCB and IBM scientists are working to create the healthcare industry's most comprehensive corpus of data on epilepsy. Upon completion of this project, healthcare providers would be able to combine their own clinical patient assessment with the system's predictive analytics to determine the probability that specific approaches to care will be successful.
Iris Low-Friedrich, Executive Vice-President Global Projects and Development and Chief Medical Officer, UCB said: "UCB focuses on the creation of innovative networks because we recognize that delivering best-in-class solutions to patients requires collaboration with a diverse group of internal and external experts. We have partnered with IBM to explore this concept of streamlining large amounts of data into actionable approaches to epilepsy care."
Epilepsy, one of the most common diseases of the central nervous system, afflicts approximately 65 million people worldwide
1. A recent special issue of The Lancet
2 highlighted the significant unmet medical needs in epilepsy and called on public health officials to treat this disease as a global health priority.
UCB and IBM anticipate that deeper insight into the epilepsy patient population could potentially provide millions of patients with more personalized care and ultimately improved outcomes. This approach will help seed the foundation for the potential to leverage cognitive computing, natural language processing, and machine learning capabilities to raise the standard of care in epilepsy.