Biomedical Informatics in Translational Research » (New Edition)

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.

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.

Ch. 1 Biomedical Informatics in Translational Research 1

Ch. 2 The Clinical Perspective 11

Ch. 3 Tissue Banking: Collection, Processing, and Pathologic Characterization of Biospecimens for Research 31

Ch. 4 Biological Perspective 43

Ch. 5 Genomics Studies 55

Ch. 6 Proteomics 85

Ch. 7 Data Tracking Systems 111

Ch. 8 Data Centralization 141

Ch. 9 Data Analysis 175

Ch. 10 Research and Application: Examples 207

Ch. 11 Clinical Examples: A Biomedical Informatics Approach 227

Index 255