The Wilkinson Laboratory is investigating ways to bridge the "usability gap" between clinical and molecular health researchers, and the data and bioinformatics analysis tools that they require day-by-day that enable discovery of causes, cures, preventions, and interventions.
The primary tools we use to achieve this are broadly called "Semantic Web" technologies. The Semantic Web is like the World Wide Web, with the additional feature that the Semantic Web contains instructions that allow machines to "understand" the meaning of the information on the Web, and how and why it is linked to other information. Once machines "understand" the content of the Web, it becomes possible for those machines to take--over many of the data discovery, retrieval, and analysis tasks that currently must be done by the human brain! Thus, medical researchers can focus on what they are good at - medical research - while leaving the dull and frustrating task of data retrieval and analysis to the machine.
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