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Predictive, Preventive, and Personalised Medicine: From Bench to Bedside

2023-12-01 Medical
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Release : 2023-12-01
Genre : Medical
Kind : eBook
Book Rating : 842/5 ( reviews)

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Book Synopsis Predictive, Preventive, and Personalised Medicine: From Bench to Bedside by : Halina Podbielska

Download or read book Predictive, Preventive, and Personalised Medicine: From Bench to Bedside written by Halina Podbielska. This book was released on 2023-12-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Information Technology Framework for Predictive, Preventive and Personalised Medicine

2015
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Release : 2015
Genre :
Kind : eBook
Book Rating : 673/5 ( reviews)

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Book Synopsis An Information Technology Framework for Predictive, Preventive and Personalised Medicine by : Leonard Berliner

Download or read book An Information Technology Framework for Predictive, Preventive and Personalised Medicine written by Leonard Berliner. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how PPPM, clinical practice, and basic research could be best served by information technology (IT). A use-case was developed for hepatocellular carcinoma (HCC). The subject was approached with four interrelated tasks: (1) review of clinical practices relating to HCC; (2) propose an IT system relating to HCC, including clinical decision support and research needs; (3) determine how a clinical liver cancer center can contribute; and, (4) examine the enhancements and impact that the first three tasks will have on the management of HCC. An IT System for Personalized Medicine (ITS-PM) for HCC will provide the means to identify and determine the relative value of the wide number of variables, including clinical assessment of the patient -- functional status, liver function, degree of cirrhosis, and comorbidities; tumor biology, at a molecular, genetic and anatomic level; tumor burden and individual patient response; medical and operative treatments and their outcomes.

Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine

2019-07-10 Medical
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Release : 2019-07-10
Genre : Medical
Kind : eBook
Book Rating : 002/5 ( reviews)

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Book Synopsis Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine by : Lotfi Chaari

Download or read book Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine written by Lotfi Chaari. This book was released on 2019-07-10. Available in PDF, EPUB and Kindle. Book excerpt: This collection, entitled Digital Health for Predictive, Preventive, Personalized and Participatory Medicine contains the proceedings of the first International conference on digital healthtechnologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. For instance, the use of connected objects to monitor physiological parameters is discussed. Moreover, even if compressed sensing is nowadays a common acquisition technique, its use for IoT is presented in this collection through one of the pioneer works in the field. In addition, the use of AI for epileptic seizure detection is also discussed as being one of the major concerns of predictive medicine both in industrialized and low-income countries. This work is edited by Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the biomedical signal and image processing field.

Personalised Health Care

2020-11-23 Medical
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Release : 2020-11-23
Genre : Medical
Kind : eBook
Book Rating : 993/5 ( reviews)

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Book Synopsis Personalised Health Care by : Stefania Boccia

Download or read book Personalised Health Care written by Stefania Boccia. This book was released on 2020-11-23. Available in PDF, EPUB and Kindle. Book excerpt: Practitioners are increasingly adopting a personalised medicine approach to individually tailored patient care, especially disease diagnosis and treatment with the use of biomarkers. However, development and implementation of such approaches to chronic disease prevention need further investigation and concerted efforts for proper use in healthcare systems. This book provides high-quality, multidisciplinary knowledge from research in personalised medicine, specifically personalised prevention of chronic disease. It addresses different perspectives of prevention in the field, and is the outcome of a four-year work of the Personalized prevention of Chronic Disease (PRECeDI) Consortium, a multi-disciplinary and multi-professional team of experts. The Consortium jointly agreed to document and address the five aspects or domains of personalised medicine and prevention as individual chapters: Identification of biomarkers for the prevention of chronic disease Evaluation of predictive genomic applications Ethico-legal and policy issues surrounding personalised medicine Roles and responsibilities of stakeholders in informing healthy individuals on their genome: a sociotechnical analysis Identification of organisational models for the provision of predictive genomic applications The book focuses on the Consortium's recommendations that are derived from each of these domains based on up-to-date evidence and research that the authors write, follow, and systematically organise and report. Personalisation of health care is, eventually, a driver of innovation in research and healthcare systems. With this SpringerBrief on Personalised Health Care: Fostering Precision Medicine Advancements for Gaining Population Health Impact, the Consortium provides further evidence of the clinical validity and utility of personalised medicine with special emphasis on the prevention of chronic diseases. The book is a useful resource for policy makers, industry and healthcare professionals, scientists, technology-sector professionals, investors, citizens, and private companies that need proper advice to realise the potential of personalised medicine.

Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine

2019 Medical informatics
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Author :
Release : 2019
Genre : Medical informatics
Kind : eBook
Book Rating : 013/5 ( reviews)

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Book Synopsis Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine by :

Download or read book Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine written by . This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: This collection, entitled #x1B;(S0#x1B;(B Digital Health for Predictive, Preventive, Personalized and Participatory Medicine#x1B;(S1#x1B;(B contains the proceedings of the first International conference on digital health technologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. For instance, the use of connected objects to monitor physiological parameters is discussed. Moreover, even if compressed sensing is nowadays a common acquisition technique, its use for IoT is presented in this collection through one of the pioneer works in the field. In addition, the use of AI for epileptic seizure detection is also discussed as being one of the major concerns of predictive medicine both in industrialized and low-income countries. This work is edited by Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the biomedical signal and image processing field.

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