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We are at a unique crossroads in history (the Information Age) where the promise of computer technology is intersecting with advanced medical technologies that can capture diverse biological information, from gene activity and brain function to the presence of telltale proteins in the blood. Combining powerful computing with this wealth of information can help us understand the complex biology that underlies most brain disorders.
Our initiative starts with rich data. Our healthcare partners conduct studies that collect broad and deep biological and patient data from people with brain disorders over time. In parallel, our patient community partners use online platforms to gather complementary data on the impact of the disease on patients in the real world and in real time.
Through powerful computer programs, we can take what was once a fragmented picture of disease—many different types of data studied separately—and begin to explore how everything fits together. Then we use these programs to build predictive models, or simulations, of brain disorders such as multiple sclerosis (MS).
These simulations will create a more complete picture of brain disorders (see above) and help predict the course of disease in individual people. Our goal is to build a community that uses predictive models to improve patient care and develop new ways to prevent, treat, and potentially cure brain disorders.
The community—a true bionetwork—of cooperative alliance partners from many disciplines will:
Together, we will support a new research model that will increase overall understanding of brain disorders while allowing partners to advance their own business and research goals.
Computational Community Webinar Series