All Around Suboptimal Health: Advanced Approaches by Predictive, Preventive and Personalised Medicine for Healthy Populations

ISBN-13: 9783031468902 / Angielski

Wei Wang

Spis treści

1. Suboptimal health management in the framework of 3P medicine

2. Definition of SHS

3. Mitochondrion – The subordinated partner who agreed to come short but insists in healthy life

4. SHS and the economic impact to healthcare from the perspective of 3P medicine

5. Tools of predictive diagnostics – Status quo and outlook

6. Risk Factors, Health Status, and Risk Groups in Suboptimal Health Condition

7. Treatment algorithm tailored to individuals with non-communicable diseases: The innovative utility of suboptimal health concept from the predictive preventive and personalised medical care perspective

8. Approaches for measuring reversible damage to the health

9. Leveraging supervised machine learning for determining the link between suboptimal health status and the prognosis of chronic diseases

10. Integrative approach to investigate suboptimal health status and endothelial dysfunction

11. Individualised Preventive Measurements of SHS

12. Early vascular ageing in young adults is instrumental as the screening tool to combat CVD epidemics in the population

13. Personalized management of physiologic/ophthalmologic particularities for predictive approach and targeted prevention of primary angle closure glaucoma applied to persons at risk

14. Multi-faceted medical care to meet individual needs of subjects with excessive BMI: Professional oral hygiene and periodontal health are in focus of 3PM

15. Systemic inflammation as the health-related communication tool between the human host and gut microbiota in the framework of Predictive, Preventive and Personalized Medicine

16. Conventional and traditional medicine – a “hand-in-hand” collaboration benefiting the patient and healthcare at large

17. Tourism, Suboptimal Health Status, and Dementia

O autorze

Professor Wei Wang, ​MD, PhD, FFPH, FRSB, FRSM, is Pro-Vice-Chancellor (China) at Edith Cowan University (ECU), Australia. He is also Professor of Public Health in the Centre for Precision Health ECU, Australia, and Chief Scientist, Insititute of Glycome Studies, Shantou University Medical College (SUMC), China. 

Prior to joining ECU, Professor Wang was Vice Director-Research of Peking University-Hong Kong University of Sciences & Technology Medical Centre in Shenzhen, Vice Dean of School of Life Science, University of Chinese Academy of Sciences, and Dean of School of Public Health and Family Medicine, Capital Medical University, Beijing, China and Professor, Public Health, Edith Cowan University, Australia.

He has had an interest in forensic medicine and global health for almost 30 years. In addition to his role as Professor in the School of Medical and Health Sciences at ECU, Professor Wang is also the Chief Scientist, Insititute of Glycome Studies, SUMC, China, Adjunct Professor,  School of Public Health, Shandong First Medical University (SFMU), China, and Director of the Beijing Municipal Key Laboratory-Centre of Excellence on Clinical Epidemiology, Capital Medical University (CMU), China.

His contributions to medical science include service as an executive member of the International Society of Translational Medicine, Membership of the Standing Committee of the International Association of Physiological Anthropology and Membership of the Expert Panel advising the WHO on its ‘Grand Challenges in Genomics for Public Health in Developing Countries’. He was also a steering committee member of the OECD initiative on Public Health Genomics.

Professor Wang was the Foundation Chief Editor of the Journal of Family Medicine and Community Health (BMJ). Currently he is Associate Editor of EPMA Journal (Springer), and regional editor of Journal of Global Health (University of Edinburgh Press), OMICS: A Journal of Integrative Biology (Mary Ann Liebert), Journal of Human Hypertension (Nature Publishing Group), Clinical and Translational Medicine (Wiley), Engineering (CAE-Elsevier), and PloS ONE (PLoS).

Professor Wang holds the degrees of Doctor of Medicine from China Medical University and Doctor of Philosophy from Oita Medical University, Japan.

Professor Wang’s principal interests are in human genetics and global health, where he is a specialist in medical genetics, glycomics, population health, suboptimal health and paternity testing. He has published over 300 scientific papers in prestigious journals including Science, Nature Genetics and The Lancet. 

Blurb

This volume demonstrates advanced strategies in biomedical sciences and healthcare focused on suboptimal health conditions in the framework of Predictive, Preventive and Personalised Medicine (3PM/PPPM). Potential benefits in healthcare systems and for society at large include but are not restricted to an improved life-quality of major populations and socio-economical groups, advanced professionalism of healthcare-givers and sustainable healthcare economy.

​Reactive medical services applied to healthcare resulted in epidemics of non-communicable diseases such as diabetes mellitus type 2 with currently about a half of billion patients registered worldwide. Far-reaching consequences are cascading co-morbidities with poor prognosis such as severe cardiovascular and neurological disorders, eye pathologies (e.g., proliferative diabetic retinopathy as the world leading cause of blindness) and several types of cancer, amongst others. Corresponding socio-economic burden is tremendous. The paradigm changes from reactive medicine to PPPM propagated by EPMA is, therefore, pivotal for advanced healthcare to improve the economy of medical services, life quality of populations and individual outcomes. To this end, individuals with suboptimal health condition comprise the target group for predictive diagnostics and cost-effective personalised treatments to protect affected individuals and sub-populations against health-to-disease transition, a window of opportunity for PPPM. This goal is of highest priority benefiting millions of people and societies at large.