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Personalized Predictive Modeling In Type 1 Diabetes

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Personalized Predictive Modeling in Type 1 Diabetes

Personalized Predictive Modeling in Type 1 Diabetes Book
Author : Eleni I. Georga,Dimitrios I Fotiadis,Stelios K. Tigas
Publisher : Academic Press
Release : 2017-12-11
ISBN : 0128051469
Language : En, Es, Fr & De

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Book Description :

Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. Describes fundamentals of modeling techniques as applied to glucose control Covers model selection process and model validation Offers computer code on a companion website to show implementation of models and algorithms Features the latest developments in the field of diabetes predictive modeling

Neural Information Processing

Neural Information Processing Book
Author : Tom Gedeon,Kok Wai Wong,Minho Lee
Publisher : Springer Nature
Release : 2019-12-10
ISBN : 3030367185
Language : En, Es, Fr & De

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Book Description :

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.

Data driven Modeling for Diabetes

Data driven Modeling for Diabetes Book
Author : Vasilis Marmarelis,Georgios Mitsis
Publisher : Springer Science & Business
Release : 2014-04-22
ISBN : 3642544649
Language : En, Es, Fr & De

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Book Description :

This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are administered by implanted programmable micro-pumps. This research volume aims at presenting state-of-the-art research on this subject and demonstrating the potential applications of modeling to the diagnosis and treatment of diabetes. The target audience primarily comprises research and experts in the field but the book may also be beneficial for graduate students.

Proceedings of the 22nd Engineering Applications of Neural Networks Conference

Proceedings of the 22nd Engineering Applications of Neural Networks Conference Book
Author : Lazaros Iliadis,John Macintyre,Chrisina Jayne,Elias Pimenidis
Publisher : Springer Nature
Release : 2021-06-23
ISBN : 3030805689
Language : En, Es, Fr & De

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Book Description :

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare Book
Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publisher : Academic Press
Release : 2021-10-22
ISBN : 0128220627
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Neural Information Processing

Neural Information Processing Book
Author : Chi-Sing Leung,Minho Lee,Jonathan H. Chan
Publisher : Springer
Release : 2009-12-15
ISBN : 3642106846
Language : En, Es, Fr & De

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Book Description :

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was “Challenges and Trends of Neural Information Processing,” with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.

Biopharmaceutics and Pharmacokinetics Considerations

Biopharmaceutics and Pharmacokinetics Considerations Book
Author : Anonim
Publisher : Academic Press
Release : 2021-07-07
ISBN : 0128144262
Language : En, Es, Fr & De

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Book Description :

Biopharmaceutics and Pharmacokinetics Considerations examines the history of biopharmaceutics and pharmacokinetics. The book provides a biopharmaceutics and pharmacokinetics approach to addressing issues in formulation development and ethical considerations in handling animals. Written by experts in the field, this volume within the Advances in Pharmaceutical Product Development and Research series deepens understanding of biopharmaceutics and pharmacokinetics within drug discovery and drug development. Each chapter delves into a particular aspect of this fundamental field to cover the principles, methodologies and technologies employed by pharmaceutical scientists, researchers and pharmaceutical industries to study the chemical and physical properties of drugs and the biological effects they produce. Examines the most recent developments in biopharmaceutics and pharmacokinetics for pharmaceutical sciences Covers the principles, methodologies and technologies of biopharmaceutics and pharmacokinetics Focuses on the pharmaceutical sciences, but also encompasses aspects of toxicology, neuroscience, environmental sciences and nanotechnology

FIRST ASSESSMENT OF THE PERFORMANCE OF A PERSONALIZED MACHINE LEARNING APPROACH TO PREDICTING BLOOD GLUCOSE LEVELS IN PATIENTS WITH TYPE 1 DIABETES THE CDDIAB STUDY

FIRST ASSESSMENT OF THE PERFORMANCE OF A PERSONALIZED MACHINE LEARNING APPROACH TO PREDICTING BLOOD GLUCOSE LEVELS IN PATIENTS WITH TYPE 1 DIABETES  THE CDDIAB STUDY  Book
Author : Anonim
Publisher : Unknown
Release : 2017
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

BackgroundPatients with type 1 diabetes (T1D) make their decisions for insulin delivery from available past and present blood glucose (BG) data and the expected effects on BG of forthcoming meals and activities according to education rules and their own experience. Enriched information on predicted BG glucose evolution could help them in better tuning insulin therapy. CDDIAB studyu2019s objective was to evaluate a new machine learning approach to predicting BG levels of each individual from a collection of personal BG measurements with contextual data.MethodsFourteen patients with T1D (8F/6M, age: 51+/-15, T1D duration: 26+/-17 years, HbA1c: 7.09+/-0.82%), treated by insulin pump (n=11) or multiple daily insulin injections (n=3) volunteered to track BG using FreeStyle Libre (n=12), Enlite (n=1) or Dexcom G4 (n=1) CGM devices and log manually meal intakes and insulin doses for 30 days. Collected data were used to design patient-specific prediction models with 30- to 90-min horizons. The algorithms were initially fitted on a training dataset corresponding to an average of 9 days, using a 5-fold cross-validation method. The remaining days of available data were used to provide an unbiased evaluation of final models.ResultsThe MARD (Mean Absolute Relative Deviation) and the consensus Error Grid Analysis were used to evaluate accuracy of BG predictions for 30- to 90-min horizons, Our results, detailed below, show the MARD and percentage of points in zones A+B on a Parkes EGA:- At 30 minutes: MARD of 6.98%u00b12.0, and 99.93%u00b10.13,- At 60 minutes: MARD of 14.78%u00b13.25, and 98.56%u00b11.00,- At 90 minutes: MARD of 20.78%u00b14.08, and 96.29%u00b12.15.ConclusionPrediction algorithms showed promising results since 99.9, 98.6 and 96.3% of computed BG values were in EGA A+B zones at 30-, 60- and 90-min horizons, respectively. The integration into the training process of collected data by an activity tracker could further improve accuracy in future developments of the algorithm.Integrated inside a mobile application to support decision-making process, this technology could help patients anticipate and avoid upcoming occurrence of hypoglycaemia and hyperglycaemia, in particular during night time. It could also be used on top of an Artificial Pancreas MPC model, allowing for more personalization and better regulation of the system, particularly during unstable phases with rapid glucose changes.

Handbook of Diabetes Technology

Handbook of Diabetes Technology Book
Author : Yves Reznik
Publisher : Springer
Release : 2019-01-31
ISBN : 3319981196
Language : En, Es, Fr & De

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Book Description :

This book covers the main fields of diabetes management through applied technologies. The different chapters include insulin therapy through basic insulin injection therapy, external and implantable insulin pumps and the more recent approaches such as sensor augmented pumps and close-loop systems. Islet transplantation is also described through its technical aspects and clinical evaluation. Glucose measurement through blood glucose meters and continuous glucose monitoring systems are comprehensively explained. Educational tools including videogames and software dedicated to diabetes management are depicted. Lastly, Telemedicine systems devoted to data transmission, telemonitoring and decision support systems are described and their use for supporting health systems are summarized. This book will help professionals involved in diabetes management understanding the contribution of diabetes technologies for promoting the optimization of glucose control and monitoring. This volume will be helpful in current clinical practice for diabetes management and also beneficial to students.

Digital Personalized Health and Medicine

Digital Personalized Health and Medicine Book
Author : L.B. Pape-Haugaard,C. Lovis,I. Cort Madsen
Publisher : IOS Press
Release : 2020-06-17
ISBN : 1643680838
Language : En, Es, Fr & De

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Book Description :

Digital health and medical informatics have grown in importance in recent years, and have now become central to the provision of effective healthcare around the world. This book presents the proceedings of the 30th Medical Informatics Europe conference (MIE). This edition of the conference, hosted by the European Federation for Medical Informatics (EFMI) since the 1970s, was due to be held in Geneva, Switzerland in April 2020, but as a result of measures to prevent the spread of the Covid19 pandemic, the conference itself had to be cancelled. Nevertheless, because this collection of papers offers a wealth of knowledge and experience across the full spectrum of digital health and medicine, it was decided to publish the submissions accepted in the review process and confirmed by the Scientific Program Committee for publication, and these are published here as planned. The 232 papers are themed under 6 section headings: biomedical data, tools and methods; supporting care delivery; health and prevention; precision medicine and public health; human factors and citizen centered digital health; and ethics, legal and societal aspects. A 7th section deals with the Swiss personalized health network, and section 8 includes the 125 posters accepted for the conference. Offering an overview of current trends and developments in digital health and medical informatics, the book provides a valuable information resource for researchers and health practitioners alike.

Glucose Metabolism Disorders Advances in Research and Treatment 2012 Edition

Glucose Metabolism Disorders   Advances in Research and Treatment  2012 Edition Book
Author : Anonim
Publisher : ScholarlyEditions
Release : 2012-12-26
ISBN : 146499367X
Language : En, Es, Fr & De

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Book Description :

Glucose Metabolism Disorders—Advances in Research and Treatment: 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Glucose Metabolism Disorders. The editors have built Glucose Metabolism Disorders—Advances in Research and Treatment: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Glucose Metabolism Disorders in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Glucose Metabolism Disorders—Advances in Research and Treatment: 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Glucose Monitoring Devices

Glucose Monitoring Devices Book
Author : Chiara Fabris,Boris Kovatchev
Publisher : Academic Press
Release : 2020-06-02
ISBN : 0128168846
Language : En, Es, Fr & De

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Book Description :

Glucose Monitoring Devices: Measuring Blood Glucose to Manage and Control Diabetes presents the state-of-the-art regarding glucose monitoring devices and the clinical use of monitoring data for the improvement of diabetes management and control. Chapters cover the two most common approaches to glucose monitoring–self-monitoring blood glucose and continuous glucose monitoring–discussing their components, accuracy, the impact of use on quality of glycemic control as documented by landmark clinical trials, and mathematical approaches. Other sections cover how data obtained from these monitoring devices is deployed within diabetes management systems and new approaches to glucose monitoring. This book provides a comprehensive treatment on glucose monitoring devices not otherwise found in a single manuscript. Its comprehensive variety of topics makes it an excellent reference book for doctoral and postdoctoral students working in the field of diabetes technology, both in academia and industry. Presents a comprehensive approach that spans self-monitoring blood glucose devices, the use of continuous monitoring in the artificial pancreas, and intraperitoneal glucose sensing Provides a high-level descriptions of devices, as well as detailed mathematical descriptions of methods and techniques Written by experts in the field with vast experience in the field of diabetes and diabetes technology

Technology in Diabetes An Issue of Endocrinology and Metabolism Clinics of North America

Technology in Diabetes An Issue of Endocrinology and Metabolism Clinics of North America Book
Author : Grazia Aleppo
Publisher : Elsevier Health Sciences
Release : 2020-01-22
ISBN : 0323697623
Language : En, Es, Fr & De

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Book Description :

This issue of Endocrinology and Metabolism Clinics, guest edited by Dr. Grazia Aleppo, will cover key topics in Technology in Diabetes. This issue is one of four selected each year by our series consulting editor, Dr. Adriana G. Ioachimescu. Topics discussed in this issue will include: Evolution of Diabetes Technology, Diabetes Technology in children, Diabetes Technology in adults with type 1 and type 2 Diabetes, Benefits and challenges of Diabetes Technology use in older adults, Integration of Diabetes Technology in Clinical Practice, Diabetes Technology in the inpatient setting for management of hyperglycemia, Standardization of CGM reports, Diabetes Technology and Exercise, Psychosocial Aspects of Diabetes Technology use, Automated insulin delivery, and Glucagon, among others.

Diagnosis and Management of Pediatric Diseases

Diagnosis and Management of Pediatric Diseases Book
Author : Consolato M. Sergi
Publisher : MDPI
Release : 2019-12-10
ISBN : 3039219669
Language : En, Es, Fr & De

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Book Description :

A screenshot of some the most rapidly evolving fields in Neonatology and Pediatrics with articles reviewing some metabolic dysregulations as well as non-oncologic diseases that may occur in infancy, childhood, youth. The illustrative material with original photographs and drawings highlighting some pathogenetic concepts are keystones of this book.

Intelligent Healthcare

Intelligent Healthcare Book
Author : Surbhi Bhatia
Publisher : Springer Nature
Release : 2022-01-22
ISBN : 3030670511
Language : En, Es, Fr & De

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Book Description :

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Textbook of Personalized Medicine

Textbook of Personalized Medicine Book
Author : Kewal K. Jain
Publisher : Springer Nature
Release : 2020-12-05
ISBN : 3030620808
Language : En, Es, Fr & De

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Book Description :

This book is for personalized medicine as a prescription of specific treatments and therapeutics best suited for an individual and considers genetic as well as environmental factors that influence responses to therapy. Best approaches are described for integration of all available technologies for optimizing the therapy of individual patients. This comprehensive third edition covers the latest advances in personalized medicine and several chapters are devoted to various specialties, particulary cancer which is the largest area of application. The book discusses the development of personalized medicine and various players in it such as companies, academic institutions, the government, and the public as the consumer of healthcare. Additionally, the roles of bioinformatics, electronic health records, and digital technologies for personalized medicine are discussed. Textbook of Personalized Medicine, 3rd Edition serves as a convenient source of information for students at many levels and in a wide range of fields, including physicians, scientists, and decision makers in the biopharmaceutical and healthcare industries.

Intelligent Systems and Applications

Intelligent Systems and Applications Book
Author : Yaxin Bi,Rahul Bhatia,Supriya Kapoor
Publisher : Springer Nature
Release : 2019-08-23
ISBN : 3030295133
Language : En, Es, Fr & De

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Book Description :

The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process, after which 190 were selected for inclusion in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle a host of problems more effectively. This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for an international conference as a venue for reporting on the latest innovations and trends. This book collects both theory and application based chapters on virtually all aspects of artificial intelligence; presenting state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision for future research, it represents a unique and valuable asset.

Technological Advances in the Treatment of Type 1 Diabetes

Technological Advances in the Treatment of Type 1 Diabetes Book
Author : D. Bruttomesso,G. Grassi
Publisher : Karger Medical and Scientific Publishers
Release : 2014-11-17
ISBN : 331802337X
Language : En, Es, Fr & De

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Book Description :

The current epidemic of diabetes, obesity and related disorders is a driving force in the development of new technologies. Technological advances offer great new opportunities for the treatment of these chronic diseases. This review presents an update of developments that promise to revolutionize the treatment of diabetes. It examines hospital and outpatient care, intensive insulin therapy, blood glucose monitoring and innovative steps towards the construction of an artificial pancreas. Providing a comprehensive overview on the latest advances, this volume of Frontiers in Diabetes will be of particular interest to all healthcare providers involved in the daily management of patients with diabetes or related diseases.

Trends in Personalized Nutrition

Trends in Personalized Nutrition Book
Author : Charis M. Galanakis
Publisher : Academic Press
Release : 2019-05-23
ISBN : 0128172657
Language : En, Es, Fr & De

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Book Description :

Trends in Personalized Nutrition explores the topic of personalized nutrition from multiple angles, addressing everything from consumer acceptance, to policies and cognitive dissonance. Sections in the book cover epigenetics, nutrigenomics, predicting glycemic response, and metabolomics and the role of bacteria. In addition, the book explores diet, obesity and personalized nutrition for athletes, women, and infants and children, along with a section on the role of modern technology in the promotion of personalized nutrition. Nutritionists, food technologists, food chemists, new product developers, academics, and researchers and physicians working in the field of nutrition will find this to be a great reference. Addresses consumer acceptance, policies and cognitive dissonance in nutrition Discusses epigenetics, nutrigenomics, how to predict glycemic response, and metabolomics and the role of bacteria Explores diet and obesity Considers personalized nutrition for athletes, women, infants and children Contemplates the role of modern technology in personalized nutrition

Personalized and Precision Medicine Informatics

Personalized and Precision Medicine Informatics Book
Author : Terrence Adam,Constantin Aliferis
Publisher : Springer Nature
Release : 2019-09-17
ISBN : 3030186261
Language : En, Es, Fr & De

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Book Description :

This book adopts an integrated and workflow-based treatment of the field of personalized and precision medicine (PPM). Outlined within are established, proven and mature workflows as well as emerging and highly-promising opportunities for development. Each workflow is reviewed in terms of its operation and how they are enabled by a multitude of informatics methods and infrastructures. The book goes on to describe which parts are crucial to discovery and which are essential to delivery and how each of these interface and feed into one-another. Personalized and Precision Medicine Informatics provides a comprehensive review of the integrative as well as interpretive nature of the topic and brings together a large body of literature to define the topic and ensure that this is the key reference for the topic. It is an unique contribution that is positioned to be an essential guide for both PPM experts and non-experts, and for both informatics and non-informatics professionals.