Metabolic Phenotyping in Personalized and Public Healthcare

Metabolic Phenotyping in Personalized and Public Healthcare provides information on the widespread recognition that a personalized or stratified approach to patient treatment may offer a more efficient and effective healthcare solution than phenotype-led approaches.In order to achieve that objective, a deep personal description is required at the level of the genome, proteome, metabolome, or preferably a combination of these aided by technology. This book, edited and written by the outstanding luminaries of this evolving field, evaluates metabolic profiling and its uses across personalized and population healthcare, while also covering the advent of new technology fields, such as surgical metabonomics. In addition, the text presents specific examples of where this technology has been used clinically and with efficacy, pointing towards a framework and protocol for usage as it hits the clinical mainstream.

1. Unmet Medical Needs
2. The Development of Metabolic Phenotyping - A Historical Perspective
The development of metabolic phenotyping - a historical perspective
3. Phenotyping the Patient Journey
4. Surgical Spectroscopy
5. High Throughput Metabolic Screening
6. Pharmacometabonomics and Predictive Metabonomics: New Tools for Personalised Medicine
7. Population Pehnotyping, Exposomics and MWAs
8. Handing on health to the next generation: Early Life Exposures
9. The Ageing Superorganism
10. Phenome Centers and Global Harmonization
11. From Databases to Big Data
12. Modeling People and Populations: Exploring Medical Visualization Through Immersive Interactive Virtual Environments
13. Future Visions for Clinical Metabolic Phenotyping: Prospects and Challenges

Head of Surgery and Cancer, Professor of Biological Chemistry, Imperial College London, London, UK
Head of Biosurgery and Surgical Technology, Hamlyn Chair of Surgery, Imperial College London, London, UK
Head of Computational and Systems Medicine, Professor of Chemical Biology, Imperial College London, London, UK
Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, UK