With the advent of the big data era and the rise of universal and digital health, the concept of "sports medicine" is gaining increasing attention. Proper exercise can effectively prevent or reduce the risk of diseases. However, the impact of exercise on diseases, including cancer, neurodegenerative diseases, and cardiovascular diseases, varies from person to person. Professor Bairong Shen's latest academic work, "Translational Informatics---Sports and Exercise Medicine," focuses on the forefront of translational informatics and digital healthcare in sports medicine. It explores exercise prescriptions suitable for different individuals from multiple perspectives, including informatics, clinical medicine, and biology. The book covers many modern informatics models, such as ontologies, knowledge graphs, blockchain, participatory medicine, semantic artificial intelligence, and big data modeling. It discusses the challenges of data sharing and standardization in sports medicine, as well as data privacy protection and data integration from the genomic level to the physiological phenotype level. This book is highly suitable for readers interested in sports medicine, healthcare, big data modeling, and medical artificial intelligence.

About the Editor

    Bairong Shen is a professor and executive dean at the Institute of Systems Genetics, West China Hospital of Sichuan University. He obtained his Ph.D. in Chemistry from Fudan University in 1997. In 1999, Shen was appointed as an associate professor of physical chemistry at Fudan University. In early 2000, Shen began his postdoctoral research at the University of Tampere in Finland, where he started new explorations in biomedical informatics and related computational biology. His research and promotion of new paradigms in bioinformatics led to his successful tenure as an assistant professor/associate professor of bioinformatics at the University of Tampere. He established the Systems Biology Research Center at Soochow University in 2008. In Finland and China, Professor Shen has taught more than ten different courses in biomedical informatics and systems biology and has published over 100 peer-reviewed articles in competitive journals, including cancer biomarker discovery, biomedical informatics, and computational science. His recent research has mainly focused on biomedical informatics and systems biology based on complex diseases and healthcare.

The book discusses the following themes:

1. Ontologies, Knowledge Graphs, and Sports Medicine

2. Participatory Sports Medicine and Personalized Healthcare

3. Integration of Omics and Phenotypic Data in Sports Medicine

4. The Human Immune System, Circadian Rhythms, and Sports Medicine

5. Sports Medicine for Cardiovascular Diseases, Neurodegenerative Diseases, Cancer, and Diabetes