Biomedical Informatics in Translational Research

This groundbreaking resource on biomedical informatics gives you step-by-step insight into innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms as well as from the public domain. It details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from "bench to bedside" and "bedside to bench" with never-before efficiency.

Filling the need for informatics applications that bridge the clinical-basic domains and facilitate the bi-directional flow of research, this definitive volume offers a systems-oriented approach to the subject that complements the traditional bottom-up approach of systems biology. You get clear insight into how to conduct biomedical informatics research at both the clinical and molecular levels, with detailed guidelines on study design, IRB protocol development, questionnaire design, specimen collection, and other procedures and applications. The book explains the latest data integration and federation approaches, and points the way to potential new data analysis and mining methodologies for tackling problems that cannot be readily resolved using current technologies. Complete with in-depth case examples demonstrating how to develop tools for specific biomedical informatics tasks, this pioneering work will prove invaluable to your efforts in managing clinical and high-throughput data and making the most of targeted basic research.

No one is happy that it takes 10 years for a drug to reach the market, but now at last there is a new generation of research tools that can help cut time-consuming obstacles down to size. This trail-blazing resource on biomedical informatics provides researchers with innovative techniques for integrating and federating data from clinical and molecular studies. These methods enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and enable researchers to translate knowledge from "bench to bedside" and "bedside to bench" with never-before speed and efficiency. Complete with examples demonstrating how to develop tools for specific biomedical informatics tasks, this volume will help all medical researchers manage data, expedite their efforts, and make the most of targeted basic research.

Hai Hu is senior director of Biomedical Informatics and senior staff scientist at Windber Research Institute, Pennsylvania. He is former group leader/senior bioinformatics scientist at AxCell Biosciences and member of the adjunct faculty of Widener University, Chester, Pennsylvania. He earned his Ph.D. in biophysics at the State University of New York at Buffalo.

Michael Liebman is chief scientific officer at Windber Research Institute, Pennsylvania. He previously served as director, biomedical informatics at the Abramson Cancer Center, University of Pennsylvania, and as adjunct professor at the University of Pennsylvania, Northwestern University, and Loyola University Medical School. He received his Ph.D. in physical chemistry from Michigan State University.