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Knowledge-Based Systems in Bioinformatics Short Course to be part of Bio-IT World Asia Conference
Conference Short Course on Knowledge-Based Systems in Bioinformatics
About the Knowledge-Based Systems in Bioinformatics Short Course:
Knowledge-based systems (KBS) are increasingly used for the analysis of biological systems and complex biomedical applications. Biomedical KBS integrate quantities of complex biomedical data, existing knowledge, and automated analysis methods. Applications of biomedical KBS include scientific discovery, formulation of hypotheses, design of experiments, drug discovery and design, and various clinical applications. This course addresses theoretical and practical aspects of KBS and will be supported by selected examples from bioinformatics applications in cancer and immunology.
Vladimir Brusic, Ph.D., Director, Bioinformatics, Cancer Vaccine Center, Dana-Farber Cancer Institute
The Bio-IT World Asia 2012 Conference will bring together, life sciences, pharmaceutical, informatics and IT professionals from all over Asia and the rest of the world to one unique location. The Event provides the perfect venue to share information and discuss enabling technologies that are driving biomedical research and the drug development process.
For more information, visit: http://www.Bio-
About Bio-IT World Events (www.events.bio-
Since its debut in 2002, the annual Bio-IT World Conference & Expo, held each Spring in Boston, has established itself as a premier event showcasing the myriad applications of IT and informatics to biomedical research and the drug discovery enterprise. Over 2,000 delegates representing 30 countries have gathered yearly to attend 125+ technology and scientific presentations and view an expansive exhibit hall of 100+ companies. Bio-IT World Conference continues its exceptional series of educational programming with the announcement of the Inaugural Bio-IT World Conference Asia.
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Bio-IT World focuses on the tools and results of predictive biology, drug discovery, informatics, clinical trials, and personalized medicine as well as the strategic decisions made by companies in this area and the impact on the company’s performance.