Knowledge in medical research is quite possibly the most valuable part. As medical research becomes more and more specialized and the scientific community’s understanding of the human body has increased, it has become an information explosion. EurekAlert brought this interesting information to us in their article, “A cure for medical researchers’ big data headache.”
However, it has also created some fragmentation of that information. With thousands of new articles being published by medical journals every day, developments that could make a difference to medicine’s global body of knowledge and ultimately, patient care, often go unnoticed.
For the past five years a data scientist at the Department of Energy’s Oak Ridge National Laboratory, has been working with health data and the high-performance computing resources of ORNL’s Compute and Data Environment for Science (CADES) to improve health care in the United States. His most recent success, called Oak Ridge Graph Analytics for Medical Innovation (ORiGAMI), supplies researchers with an advanced data tool for literature-based discovery that has the potential to accelerate medical research and discovery.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
