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DESCRIPTION:Click for Latest Location Information: http://semtechbizuk2012.semanticweb.com/sessionPop.cfm?confid=67&proposalid=4869\nThe ultimate goal of semantic technologies and text analytics is to devise software that can "understand" the meaning of free text in the practical sense of providing new, actionable information condensed out of a body of documents. As a stepping stone on the road to this vision I will introduce a totally new approach to drug research, that of identifying relevant biochemical information by employing autonomous self-organizing semantic engines to text mine large repositories of biomedical research papers, a technique pioneered by Merck with the InfoCodex semantic engine. I will describe the methodology and a first experiment for the discovery of new biomarkers and phenotypes for diabetes and obesity on the basis of PubMed abstracts, public clinical trials and Merck internal documents. The reported approach shows promise and has potential both as a faster alternative to vocabulary curation processes dependent on humans having to read all the texts  and to impact more fundamentally pharmaceutical research as a way to shorten time-to-market of novel drugs, and for early recognition of dead ends.
DTSTART:20120919T114500
SUMMARY:Semantic Drug Research: Discovery of New Biomarkers and Phenotypes by Text Analytics
DTEND:20120919T121459
LOCATION: See Description
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