New books in series “Advances in PPPM”

New books in series “Advances in PPPM”

https://www.springer.com/series/10051?detailsPage=titles

Flammer Syndrome

From Phenotype to Associated Pathologies, Prediction, Prevention and Personalisation

Olga Golubnitschaja Editor

Unmet healthcare needs of young populations and individuals in suboptimal health conditions are the key issue of currently observed epidemics of non-communicable disorders. Moreover, an unprecedented decrease in the average age of onset of these disorders is recorded. The majority of non-communicable disorders carry a chronic character by progressing over a couple of years from a reversible suboptimal health condition to irreversible pathology with collateral complications. The timeframe between both conditions is the operational area for predictive diagnosis and identification of persons at risk by innovative screening programmes followed by the most cost-effective personalised treatment possible, namely primary prevention tailored to the person. The book propagates the paradigm change from delayed, costly but frequently ineffective medical services to the holistic approach by predictive, preventive and personalised medicine clearly demonstrating multifaceted benefits to the individual, healthcare sector and society as a whole. The book is focused on the needs of

young people: teenagers, adolescents and young adults;
regardless of the age, individuals in suboptimal health conditions, who are interested in remaining healthy by optimising their modifiable risk factors – both endogenous and exogenous ones;
several patient cohorts demonstrating similar phenotype of Flammer syndrome.

The book is based on the multi-professional expertise, scientific excellence and practical experiences of the world-acknowledged experts in Flammer syndrome, predictive diagnostics, targeted prevention and personalised medicine, amongst others. The topic of this book is particularly relevant to general practitioners, experts in non-communicable diseases, phenotyping, genotyping, multilevel diagnostics, targeted prevention, personalised medicine, as well as the readers interested in advancing their health literacy.

Digital Health for Predictive, Preventive, Personalised and Participatory Medicine

Lotfi Chaari Editor

This book volume also allows one to guess future trends in digital health. Indeed, artificial intelligence (AI) is expected to gain more interest for healthcare in general. With the abundance of data, the available AI tools, as well as future developments in the field, may even redefine some traditional concepts such as drug prescription or surgery. We also think that a strong interest will be moved from diagnosis aid to prevention with AI. Indeed, one of the main issues that have been addressed by the medical signal and image community, as well as the machine learning community, is the transition from diagnosis aid to early diagnosis. This has dramatically changed the diagnosis act in medicine using digital tools. In the same sense, prediction and prevention using AI tools can enjoy a huge potential to fight, for example, cancer or neurodegenerative diseases. This could mainly be encouraged by the current trends in AI to move from data-driven clinical decision systems (CDS) to knowledge-driven CDS.