Download or read book Nutrition and Skeletal Muscle written by Stéphane Walrand and published by Academic Press. This book was released on 2018-10-24 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nutrition and Skeletal Muscle provides coverage of the evidence of dietary components that have proven beneficial for bettering adverse changes in skeletal muscle from disuse and aging. Skeletal muscle is the largest tissue in the body, providing elements of contraction and locomotion and acting as an important contributor to whole body protein and amino metabolism, glucose disposal and lipid metabolism. However, muscle loss, atrophy or weakness can occur when there are metabolic imbalances, disuse or aging. This book addresses the topic by providing insight and research from international leaders, making it the go-to reference for those in skeletal muscle physiology. - Provides an understanding of the crucial role of skeletal muscle in global metabolic homeostasis regulation - Delivers the information needed to understand the utilization of crucial supplements for the preservation of skeletal muscle - Presents insights on research from international leaders in the field

Download or read book Artificial Intelligence in Ophthalmology written by Andrzej Grzybowski and published by Springer Nature. This book was released on 2021-10-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.

Download or read book Diabetes and Fundus OCT written by Ayman S. El-Baz and published by Elsevier. This book was released on 2020-04-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetes and Fundus OCT brings together a stellar cast of authors who review the computer-aided diagnostic (CAD) systems developed to diagnose non-proliferative diabetic retinopathy in an automated fashion using Fundus and OCTA images. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to help reduce the amount of time spent on source-searching and instead focus on actual research and the clinical application. This reference depicts the current clinical understanding of diabetic retinopathy, along with the many scientific advances in understanding this condition. As the role of optical coherence tomography (OCT) in the assessment and management of diabetic retinopathy has become significant in understanding the vireo retinal relationships and the internal architecture of the retina, this information is more critical than ever.

Download or read book Handbook of Retinal OCT Optical Coherence Tomography E Book written by Jay S. Duker and published by Elsevier Health Sciences. This book was released on 2021-07-31 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Arguably the most important ancillary test available to ophthalmologists worldwide, optical coherence tomography (OCT) has revolutionized the field, and now includes angiographic evaluations (OCTA) that provide vascular flow data without eye injection. Handbook of Retinal OCT is an easy-to-use, high-yield guide to both OCT and OCTA imaging for practitioners at any stage of their career. Highly templated, concise, and portable, this revised edition helps you master the latest imaging methods used to evaluate retinal disease, uveitis, and optic nerve disorders. - Helps all health professionals with an interest in OCT to better and more quickly interpret OCT imaging, offering quick, highly visual guidance for evaluating age-related macular degeneration, diabetic retinopathy, retinal vein occlusion, and much more. - Provides quick answers with bulleted, templated chapters, each focused on one specific diagnosis or group of diagnoses with a particular OCT appearance. - Demonstrates how the full spectrum of diseases presents through approximately 400 illustrations, including the highest-quality spectral-domain OCT images available and more than 50 new OCTA images. - Includes five new chapters covering optic nerve disease with retinal findings, pachychoroid diseases, paracentral acute middle maculopathy (PAMM), auto-immune retinopathies, and primary uveal lymphoma. - Offers clear visual guidance on image patterns with multiple arrows and labels throughout to highlight key details of each disease.

Download or read book Fundus Autofluorescence written by Noemi Lois and published by Lippincott Williams & Wilkins. This book was released on 2012-02-13 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring over 250 illustrations, this detailed full-color textbook provides up-to-date information on the use of fundus autofluorescence imaging in evaluation of retinal disease. Chapters describe the techniques available to image and quantify fundus autofluorescence and the autofluorescence patterns observed in the healthy eye and in various retinal diseases. Emphasis is on the value of fundus autofluorescence as a diagnostic and prognostic tool and its clinical utility in the context of other imaging techniques, such as fluorescein and indocyanine green angiography and optical coherence tomography. Each chapter also discusses the value of fundus autofluorescence in understanding the pathogenesis of the condition, and provides a comprehensive update on all aspects of the condition. A companion Website will offer the fully searchable text and an image bank.

Download or read book High Resolution Imaging in Microscopy and Ophthalmology written by Josef F. Bille and published by Springer. This book was released on 2019-08-13 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides a comprehensive overview of the application of the newest laser and microscope/ophthalmoscope technology in the field of high resolution imaging in microscopy and ophthalmology. Starting by describing High-Resolution 3D Light Microscopy with STED and RESOLFT, the book goes on to cover retinal and anterior segment imaging and image-guided treatment and also discusses the development of adaptive optics in vision science and ophthalmology. Using an interdisciplinary approach, the reader will learn about the latest developments and most up to date technology in the field and how these translate to a medical setting. High Resolution Imaging in Microscopy and Ophthalmology – New Frontiers in Biomedical Optics has been written by leading experts in the field and offers insights on engineering, biology, and medicine, thus being a valuable addition for scientists, engineers, and clinicians with technical and medical interest who would like to understand the equipment, the applications and the medical/biological background. Lastly, this book is dedicated to the memory of Dr. Gerhard Zinser, co-founder of Heidelberg Engineering GmbH, a scientist, a husband, a brother, a colleague, and a friend.

Download or read book Diabetic Retinopathy and Cardiovascular Disease written by C. Sabanayagam and published by Karger Medical and Scientific Publishers. This book was released on 2019-06-03 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetic retinopathy (DR), a common microvascular complication, has consistently been shown to be associated with an increased risk of cardiovascular disease (CVD). This book provides complete coverage of DR as a potential marker for CVD in those with diabetes. It succinctly reviews the epidemiological and pathogenic links of DR to various cardiovascular events including stroke, coronary artery disease, chronic kidney disease, heart failure, and mortality. Furthermore, it discusses the usefulness of DR in CVD risk prediction and cardiovascular safety of anti-VEGF therapy in diabetic patients. There are insights from contemporary diabetic trials that demonstrated the enhanced cardiovascular benefit of novel glucose lowering therapy. It also highlights the potential of novel retinal imaging to predict CVD and its risk factors using the state-of-the art artificial intelligence-based deep learning systems. This book will be an invaluable resource for specialists translating research findings into clinical care, including those in cardiology, endocrinology, ophthalmology, and general practitioners. IT will also be of interest to public health practitioners, researchers, graduate students, and biotech companies interested in developing retinal image-based diagnostic and prognostic tools.

Download or read book Manual of Retinal Diseases written by Carlos A. Medina and published by Springer. This book was released on 2016-04-26 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive source of authoritative information on the clinical features,diagnosis, differential diagnosis, and management of medical and surgical retinal diseases. The Manual has 122 chapters, organized in 18 sections covering medical and surgical aspects of retinal diseases such as trauma, AMD, Uveitis, infections, endophthalmitis, pediatric diseases, dystrophies, and tumors. Easy-to-read chapters convey the fundamental concepts with the aid of clinical photographs, imaging studies (including fluorescein and indocyanine angiograms, ultrasonograms, CT scans, and MRI scans) and tables. The manual is of value to a wide range of practitioners and trainees, including students,residents, fellows and ophthalmologists who treat retinal diseases.

Download or read book Computational Retinal Image Analysis written by Emanuele Trucco and published by Academic Press. This book was released on 2019-11-20 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

Download or read book Medical Retina written by Frank G Holz and published by Springer Science & Business Media. This book was released on 2010-03-18 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in ophthalmic imaging technology have revolutionized fundus examination and contributed significantly in elucidating the pathophysiology of retinal diseases and improving their diagnosis and treatment. It is therefore fitting that this detailed full-color textbook in the Medical Retina series is devoted to ocular imaging. The volume reviews in detail the role of both established and novel forms of imaging, and is designed to be of benefit to clinicians and researchers alike. All of the chapters have been written by internationally recognized experts at the forefront of their fields. The result is a comprehensive, state-of-the-art overview of retinal imaging that should prove informative and useful for everyone interested in the retina. Topics include: •Spectral domain optical coherence tomography (SD-OCT) of macular diseases •Comparison of OCT equipment •Simultaneous SD-OCT and confocal SLO imaging •Ultra-widefield imaging °Autofluorescence imaging •Near-infrared imaging •Macular pigment imaging •Metabolic mapping •Imaging of the choroid •Imaging the vitreous and the vitreoretinal interface with SD-OCT •New developments in OCT technology •Molecular imaging

Download or read book Medical Image Understanding and Analysis written by Yalin Zheng and published by Springer Nature. This book was released on 2020-01-23 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 23rd Conference on Medical Image Understanding and Analysis, MIUA 2019, held in Liverpool, UK, in July 2019. The 43 full papers presented were carefully reviewed and selected from 70 submissions. There were organized in topical sections named: oncology and tumour imaging; lesion, wound and ulcer analysis; biostatistics; fetal imaging; enhancement and reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters.

Download or read book Deep Generative Models for Integrative Analysis of Alzheimer s Biomarkers written by Kumar, Abhishek and published by IGI Global. This book was released on 2024-11-01 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of generative AI and deep learning techniques for Alzheimer's disease detection significantly impacts the research community by advancing diagnostic accuracy and providing a comprehensive understanding of the disease. By combining multiple data modalities, including imaging, genetics, and clinical data, researchers can improve diagnostic precision and develop personalized treatment strategies. Generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies forward the exploration of new diagnostic tools while expediting their application in clinical practice, benefiting patients through early detection and intervention. The incorporation of generative AI may enhance research capabilities, promote collaboration, and improve Alzheimer's disease management and patient outcomes. Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers explores the integration of deep generative models in disease diagnosis, biomarking, and prediction. It examines the use of tools like data analysis, natural language processing, and machine learning for effective Alzheimer’s research. This book covers topics such as data analysis, biomedicine, and machine learning, and is a useful resource for computer engineers, biologists, scientists, medical professionals, healthcare workers, academicians, and researchers.

Download or read book Big data and artificial intelligence in ophthalmology clinical application and future exploration written by Tae-im Kim and published by Frontiers Media SA. This book was released on 2023-12-27 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques written by Peng Xiao and published by Frontiers Media SA. This book was released on 2022-12-06 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Download or read book Biomarkers of Renal Diseases written by Joaquín García-Estañ and published by MDPI. This book was released on 2021-01-19 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides important and updated information on current research devoted to urinary biomarkers. Urinary biomarkers are characteristics that can be objectively measured and evaluated as indicators of normal biological or pathogenic processes of pharmacological responses to therapeutic intervention.

Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2023-11-23 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.· Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache