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Handbook of Low-Level Laser Therapy
Low-Level Laser Therapy (LLLT) also known as photobiomodulation is almost 50 years old, and recently has been getting increasing acceptance from the scientific, medical, and veterinary communities. Discoveries are constantly being made about the cellular and molecular mechanisms of action, the range of diseases that can be treated is also rising, and home use LED devices are becoming common. This book compiles cutting-edge contributions from the world’s leading experts in Photobiomodulation and LLLT. Chapters cover general concepts, mechanisms of action, in vitro studies, pre-clinical animal studies, veterinary applications and a wide range of clinical topics. Edited by Michael Hamblin from Massachusetts General Hospital and Harvard Medical School, aided by two prominent researchers (Marcelo Sousa and Tanupriya Agrawal), this book will appeal to anyone involved in the basic science, translational aspects and clinical applications of LLLT.
Antimicrobial Photodynamic Therapy
Antimicrobial Photodynamic Therapy: Concepts and Applications explores the novel antimicrobial therapeutic technique. As the world searches for new, efficient modalities for fighting microorganisms, this book offers a complete understanding of the concept, and knowledge about the emerging technique ‘antimicrobial photodynamic therapy’ (aPDT) for the scientific communities and budding researchers. The book aligns concepts, significance, and applications of the technique systematically. Chapters in the book cover microorganisms, pathogenesis, conventional treatment methods, and significance of new treatment approaches to the concept of antimicrobial photodynamic therapy. The authors descri...
Imaging in Dermatology
Imaging in Dermatology covers a large number of topics in dermatological imaging, the use of lasers in dermatology studies, and the implications of using these technologies in research. Written by the experts working in these exciting fields, the book explicitly addresses not only current applications of nanotechnology, but also discusses future trends of these ever-growing and rapidly changing fields, providing clinicians and researchers with a clear understanding of the advantages and challenges of laser and imaging technologies in skin medicine today, along with the cellular and molecular effects of these technologies. - Outlines the fundamentals of imaging and lasers for dermatology in clinical and research settings - Provides knowledge of current and future applications of dermatological imaging and lasers - Coherently structured book written by the experts working in the fields covered
Principles and Practice of Laser Dentistry - E-Book
Successfully expand the use of lasers in your dental practice! With vibrant, detailed clinical images and easy-to-follow writing, Principles and Practice of Laser Dentistry, 3rd Edition walks you through the most common uses of lasers in areas such as periodontal surgery, dental implants, prosthetic and cosmetic reconstruction and describes how lasers work, how they interact with tissues, and how this knowledge may be applied to dental practice with a focus on technology, surgical techniques, and key steps in treatment. Written by laser dentistry pioneer Dr. Robert A. Convissar and a team of leading experts, this edition includes an ebook free with each purchase of a print book, three new ch...
Handbook of Low-Level Laser Therapy
Low-Level Laser Therapy (LLLT) also known as photobiomodulation is almost 50 years old, and recently has been getting increasing acceptance from the scientific, medical, and veterinary communities. Discoveries are constantly being made about the cellular and molecular mechanisms of action, the range of diseases that can be treated is also rising, and home use LED devices are becoming common. This book compiles cutting-edge contributions from the world’s leading experts in Photobiomodulation and LLLT. Chapters cover general concepts, mechanisms of action, in vitro studies, pre-clinical animal studies, veterinary applications and a wide range of clinical topics. Edited by Michael Hamblin from Massachusetts General Hospital and Harvard Medical School, aided by two prominent researchers (Marcelo Sousa and Tanupriya Agrawal), this book will appeal to anyone involved in the basic science, translational aspects and clinical applications of LLLT.
Smart and Sustainable Intelligent Systems
The world is experiencing an unprecedented period of change and growth through all the electronic and technilogical developments and everyone on the planet has been impacted. What was once ‘science fiction’, today it is a reality. This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communic...
Handbook of Photomedicine
Providing the most comprehensive, up-to-date coverage of this exciting biomedical field, Handbook of Photomedicine gathers together a large team of international experts to give you a complete account of the application of light in healthcare and medical science. The book progresses logically from the history and fundamentals of photomedicine to di
Low-level Light Therapy
"Low-level laser therapy (or photobiomodulation therapy) is a rapidly growing approach to treating a wide range of diseases and disorders that afflict humanity. This Tutorial Text covers the basic molecular and cellular mechanisms of action, applications for treating diseases in animal models, and its use in clinical trials and therapeutic practice in patients. Other topics include the two basic chromophores and how they trigger the signaling pathways, activation of transcription factors, and mobilization of stem cells; how the light-source design and the relevant energy parameters can affect the outcome of therapy; and the physics and tissue-optics principles that concern LLLT"--
Data Analytics in Bioinformatics
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
