Effort will leverage big data and machine learning to discover genetic, lifestyle and environmental factors for improving healthcare and personalizing medicine.
Panel boosts spending by $1.1 billion over the previous year, aiding NIH’s Precision Medicine Initiative and other health IT priorities, while ONC’s budget is slashed.
The multi-state system is using big data efforts to reduce infections and eliminate negative patient events, achieving rising levels of results after a slow start.
At the center of ASU’s effort is HortonWorks’ Data Platform, which enables vast computing resources to work together on computations of huge genomic data files.
