Predictive, Preventive, and Personalised Medicine: From Bench to Bedside [electronic resource] / edited by Halina Podbielska, Marko Kapalla.

Preface -- 1. PPPM innovation in primary, secondary, and tertiary care -- 2. Suboptimal Health Innovation: From Bench to Bedside -- 3. What is the routine mitochondrial health check-up good for? A holistic approch in the framework of 3P nedicine -- 4. Prehabilitation as an integral procedure in predictive, preventive, and personalized medicine and modern and effective healthcare -- 5. Pathophysiology of the acute pain chronification and the possibilities of its prediction and prevention -- 6. Prevention and prediction of body posture defects in children aged 5-6 years -- 7. A powerful paradigm: Predictive, preventive, and personalized medicine with multiomics of human pituitary adenomas -- 8. Critical Role of Telemedicine as a Platform for Preventive, Predictive and Personalized Diabetes Care During the COVID-19 Pandemics -- 9. Gut microbiome and liver dieases from the perspective of 3PM - the predictive, preventive, and personalized medicine -- 10. Computer-Aided Breast Cancer Classification Framework for Predictive, Preventive, and Personalized Medicine -- 11. Preventive and Personalized Strategies in Ambulatory and Clinical Cardiac Electrophysiology -- 12. Wound healing from bench to bedside: a PPPM bridge between physical therapies and chronic inflammation -- 13. Advantages of thermovision imaging for PPPM approach to diabetic foot -- 14. Predictive, Preventive and Personalized approach in Sleep Medicine -- 15. Chronic mental disorders - limitations and perspectives of prediction, prevention, diagnosis and personalized treatment in psychiatry -- 16. Development of artificial intelligence algorithms to analyse weather conditions for the prediction of cerebrovascular accidents -- 17. Periodontal health status is pivotal for an effective disease prediction, targeted prevention and personalised treatments of associated pathologies -- 18. Does the evaluation of ocular blood supply play a role in glaucoma diagnostics and prognosis of progression? -- 19. Wearable Revolution: Predictive, Preventive, Personalized Medicine (PPPM) Par Excellence.

This volume presents advanced bio/medical sciences with a particular value for translating research achievements into daily medical practice in the framework of Predictive, Preventive and Personalised Medicine (3PM/PPPM). First two decades of the 21st century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The paradigm change from reactive to predictive preventive and personalised medicine is essential to promote population health by application of individualised patient profiling, multi-parametric analysis leading to cost-effective targeted prevention. To this end, inadequate data for risk assessment on speed and urgency of COVID-19, combined with increased globalization of human society, led to the rapid spread of COVID-19. Despite an abundance of digital methods that could be used in slowing or stopping this virus and future pandemics, the world remains unprepared, and lessons have not been learned from previous cases of pandemics. The book presents PPPM strategies which might be of great clinical utility for future pandemics. In a long-term way, a significantly improved healthcare economy is one of the clear benefits of the proposed paradigm shift; a tight collaboration between all stakeholders including scientific community, healthcare providers, patient organisations, policy-makers and educators is analysed for the smooth implementation of the 3PM concepts. Further issues linked to big data management and medical ethics have to be carefully treated in the context of application of artificial intelligence in medicine.