Opportunities of a collaborative e-health
Life science To address the complexity of database interoperability and to ease the design of data analysis workflow. Medical research To store and manipulate large cohorts of medical images. To bring together and to correlate patient medical and biological data. Drug discovery First step of a full in silico drug discovery process successfully proven. To reduce time and/or save money in the drug discovery process.
Working Health Grids WISDOM 8 conformations of the target (N1), 300.000 selected compounds, 2.4 million combinations tested 100 + years in a single CPU US$ 24M to screen all these compounds in vivo, less than US$ 1M wih the GRID wisdom.eu-egee.fr/avianflu/
BIRN Million of files shared, processed and accessed 30+ research sites from 21 universities and hospitals and 3 domains: Functional Imaging Research of Schizophrenia Brain Morphometry Multi-Scale Mouse Models of Disease www.nbirn.net
caBIG Connect individuals and institutions to enable the sharing of data and tools Speed the delivery of innovative approaches for the prevention and treatment of cancer Infrastucture and tools also have broad utility outside the cancer community and internal collaboration and interoperability efforts are underway https://cabig.nci.nih.gov