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| Jonathan Sheldon, InforSense |
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Jonathan Sheldon, Chief Scientific Officer at InforSense, is responsible for directing InforSense R&D activities including managing InforSense product development and delivery to meet customer needs. Prior to InforSense he was Chief Technology Officer for Confirmant where he was responsible for developing the company’s proteomics products and services. Previously he established the first bioinformatics group and was Head of Bioinformatics for 5 years at Roche Welwyn, UK participating in a number of global initiatives within the company. Dr. Sheldon holds a PhD in Molecular Biology/Biochemistry from the University of Cambridge.
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Building an informatics infrastructure for translational research
Jonathan Sheldon, InforSense
Workflow has become a key technology for discovery informatics in life science research. Workflow technology enables scientists to dynamically construct their own research protocols for scientific analytics and decision making by connecting together various information resources and software applications in an intuitive manner. Workflow is not just a visual way of writing scripts for a vertical application. Workflow can form the foundation of an enterprise informatics environment enabling organizations to optimize their important data-driven processes and deliver information, expertise and derived knowledge effectively and quickly to decision-makers throughout the organization from scientist to the board.
Over the last couple of years we have also seen increasing investment in approaches that enable cross domain research both within major pharma and biomedical research centers. Strategies such as systems biology, pharmacogenomics, and biomarker discovery all have in common the requirement to access and integrate data and methods that cut across traditional silos: biology and chemistry, biology and clinical, chemistry and pre-clinical.
InforSense has combined advanced workflow technology with cross-domain analytics. Our integrative analytics platform has been engineered to effectively support translational research and addresses the needs of a diverse user community which ranges from biomedical informaticians to clinicians. In this presentation a variety of case studies will be presented with emphasis on examples which have a patient centric, clinically driven focus. In particular, we will describe in detail our work with Windber Research Institute to build a decision support environment that enables scientists to translate research into decisions that impact patient care. Specifically, we will describe how we have used workflow as a tool to:
* build a non disease specific clinical data warehouse
* provide a mechanism to browse this data (>600 fields per patient) and stratify into patient subsets e.g. responders vs non responders
* drill down into comprehensive views of all data collected for an individual patient
* integrate this clinical data in a dynamic manner with experimental data such as gene expression
* provide a powerful analytical environment to build predictive models of say treatment response which can reside in an Oracle database
* produce a simple web interface deployed into a customized portal to interpret the output of complex analysis for decision support
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