Автор: Harish Kumar Chopra; Anupama Parmar; P S Panesar. Название: Bio-organic Chemistry ISBN: 1842657739 ISBN-13(EAN): 9781842657737 Издательство: Alpha Science Рейтинг: Цена: 57140.00 T Наличие на складе: Невозможна поставка. Описание: BIO-ORGANIC CHEMISTRY describes the structure, interactions, and reactions of organic compounds of biological significance at the molecular level. The book represents the interface of biochemistry with organic chemistry. The major focus is on fundamentals of bioorganic chemistry where each chapter gives an in-depth knowledge about the topic, besides covering the chemical/biochemical reactions with special emphasis on mechanistic aspects.
General biosynthetic reactions have been outlined and compared with corresponding organic reactions. The detailed information on the chemistry of Enzymes is given in one chapter while the other chapter describes the details of mechanism of enzyme action. The reactions catalysed by enzymes and coenzymes respectively have been described in detail emphasizing on mechanism of these reactions.
The chapter on Enzyme Models has been entirely focused on different aspects and types of enzyme models and their applications in chemical, pharmaceutical, food, biochemical and environmental industries. The biotechnological applications of enzymes have been described in the last chapter focusing on immobilized enzyme technology for various industrial uses.
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things.
What You'll Learn
Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AISelect learning methods/algorithms and tuning for use in healthcareRecognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents
Who This Book Is For
Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
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