Details
Translational Informatics
Sports and Exercise Medicine|
128,39 € |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 22.04.2022 |
| ISBN/EAN: | 9789811691621 |
| Sprache: | englisch |
| Anzahl Seiten: | 234 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>The book provides readers the informatics and data-driven models for the discovery of personalized excise prescriptions applied to different cases. Overdiagnosis or over-treatment often happened since the complex interaction among the lifestyle, genetic, and environmental factors. Sports and exercise are reported efficient to prevent or reduce the risk of diseases, but the interactions between sports/exercise and disease are personalized and complex. Translational informatics is a powerful paradigm and it promotes the transfer of big data, knowledge and models to the precision application of sports to prevent diseases. Sports and exercise may have different effects on diverse diseases including cancers, neurodegenerative disease, and cardiovascular diseases, etc. This book covers many modern informatics models such as ontologies, knowledge graphs, blockchain, participatory medicine, semantic artificial intelligence, big data modeling, and so on. It also describes the challenges for the sports and exercise medical data sharing and standardization, the privacy protection of data as well as the integration of data from genomic level to physiological phenotype level. This book will be helpful to the readers who are interesting in sports and exercise medicine, healthcare, big data modeling, artificial intelligence in medicine and healthcare. <br></p>
<p>Chapter 1. Ontologies and Knowledge Graphs for Exercise Medicine.- Chapter 2. Participatory exercise medicine and personalized healthcare.- Chapter 3. Integration of genetic and phenotyping data for sports medicine.- Chapter 4. Microbiota, sports and exercise medicine.- Chapter 5. Human immune system and exercise medicine: current process and future directions.- Chapter 6. Circadian Rhythm and Personalized Exercise.- Chapter 7. Data-driven Exercise Medicine for Cardiovascular Disease.- Chapter 8. Physical Activities and Prevention of Neurodegenerative Diseases.- Chapter 9. Exercise guidelines for cancer patients.- Chapter 10. Diabetes as a metabolic disease and translational exercise medicine informatics.</p>
<p>Dr. Bairong Shen, Professor & Executive Director General in Institutes for Systems Genetics, West China Hospital, Sichuan University. He received his Ph.D. in Chemistry from Fudan University in 1997. Dr. Shen was appointed as associate professor of Physical Chemistry at Fudan University in 1999, for his accomplishments in theoretical and computational surface chemistry. In the early 2000s, Dr. Shen started his new exploration into biomedical informatics and related computational biology in his postdoctoral research in the University of Tampere, Finland. His success in the new paradigm of biological research won him a competitive faculty position in the European university as an assistant/associate professor of Bioinformatics since 2004. He joined the Soochow University by founding the University’s Center for Systems Biology in 2008. In Finland and China, Dr. Shen has taught more than ten different courses in biomedical informatics and systems biology and published more than 100 peer-reviewed articles in competitive journals which covered the medical genetic areas including cancer biomarker discovery, biomedical informatics and the basic exploration in physics, chemistry, biology and computational science. His recent researches focus on Biomedical informatics and Systems Biology of complex diseases and healthcare.<br></p><br><p></p>
<p>The book provides readers the informatics and data-driven models for the discovery of personalized excise prescriptions applied to different cases. Overdiagnosis or over-treatment often happened since the complex interaction among the lifestyle, genetic, and environmental factors. Sports and exercise are reported efficient to prevent or reduce the risk of diseases, but the interactions between sports/exercise and disease are personalized and complex. Translational informatics is a powerful paradigm and it promotes the transfer of big data, knowledge and models to the precision application of sports to prevent diseases. Sports and exercise may have different effects on diverse diseases including cancers, neurodegenerative disease, and cardiovascular diseases, etc. This book covers many modern informatics models such as ontologies, knowledge graphs, blockchain, participatory medicine, semantic artificial intelligence, big data modeling, and so on. It also describes the challenges for the sports and exercise medical data sharing and standardization, the privacy protection of data as well as the integration of data from genomic level to physiological phenotype level. This book will be helpful to the readers who are interesting in sports and exercise medicine, healthcare, big data modeling, artificial intelligence in medicine and healthcare. <br></p>
<p>Focuses on sports and exercise based prevention and treatment of disease as nonpharmacological methods</p><p>Promote the translation of exercise medicine researches to the personalized exercise prescription via informatics</p><p>Includes semantic AI for the successful translation of researches to personalized applications in exercise medicine</p>
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