Abstract
Translational medicine incorporates aspects of both basic science and clinical research, and as a result requires interdisciplinary skills and resources. For this reason, it is essential to have an information system that supports a dynamic and collaborative research environment. An informatics platform to support translational medicine is often expensive; and off-the-shelf packages to allow simultaneous high throughput support for imaging, genomics and proteomics research are practically non-existent. Furthermore, translational medicine requires the integration of experimental and clinical data. For most organisations, this information is captured in multiple legacy systems that are not combined together and require significant manual steps to integrate. This presentation provides an overview of the design principles of developing a translational research platform in drug discovery and healthcare, and also covers work we have done in both Imperial College and IDBS on developing the technology and software platform for translation research.
About the speaker
Professor Yike Guo the Chief Innovation Officer IDBS and a professor in computing science, Imperial College London. He founded InforSense in November 1999 to commercialise his group’s pioneering distributed analytics technology for high-performance integrative data analysis on large-scale scientific data. The technology supports rapid analytical application development and process knowledge management. He has led the company’s growth since then as CEO until the end of 2008. In June 2009, the company was acquired by IDBS to provide end-to-end solutions for research and development data management. Professor Guo became Chief Innovation Officer for the combined company. He is a world leading expert in large scale data mining and Grid computing and also serves as Technical Director of the Parallel Computing Center and Head of the Data Mining Group at Imperial College London. Over the last four years he has led a number of significant academic and industrial research and development projects targeted at building next generation e-Science platforms for which he has gained UK and European funding in excess of £10million.