Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Effective knowledge management in translational medicine | Szalma et al. Journal of Translational Medicine 2010 8 68 http content 8 1 68 JOURNAL OF TRANSLATIONAL MEDICINE METHODOLOGY Open Access Effective knowledge management in translational medicine Sándor Szalma1 Venkata Koka1 Tatiana Khasanova2 Eric D Perakslis3 Abstract Background The growing consensus that most valuable data source for biomedical discoveries is derived from human samples is clearly reflected in the growing number of translational medicine and translational sciences departments across pharma as well as academic and government supported initiatives such as Clinical and Translational Science Awards CTSA in the US and the Seventh Framework Programme FP7 of EU with emphasis on translating research for human health. Methods The pharmaceutical companies of Johnson and Johnson have established translational and biomarker departments and implemented an effective knowledge management framework including building a data warehouse and the associated data mining applications. The implemented resource is built from open source systems such as i2b2 and GenePattern. Results The system has been deployed across multiple therapeutic areas within the pharmaceutical companies of Johnson and Johnsons and being used actively to integrate and mine internal and public data to support drug discovery and development decisions such as indication selection and trial design in a translational medicine setting. Our results show that the established system allows scientist to quickly re-validate hypotheses or generate new ones with the use of an intuitive graphical interface. Conclusions The implemented resource can serve as the basis of precompetitive sharing and mining of studies involving samples from human subjects thus enhancing our understanding of human biology and pathophysiology and ultimately leading to more effective treatment of diseases which represent unmet medical needs. Background The effective management of knowledge in translational
