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Wiley-VCH - Computer Science
A Passion for Publishing
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AI-driven Innovations in Physiotherapy and Oncology, Volume 2
AI-driven Innovations in Physiotherapy and Oncology 2 explores the transformative impact of artificial intelligence (AI) on two critical domains of healthcare. As the global demand for personalized, efficient and data-driven medical interventions increases, this book offers a timely examination of how AI technologies are reshaping clinical practices in both physiotherapy and oncology. The book explores how AI supports early cancer detection, personalized treatment planning and monitoring of disease progression, while also playing a pivotal role in physiotherapy by enabling intelligent rehabilitation strategies tailored to oncology patients. From AI-driven motion analysis and virtual physiotherapy assistants to predictive models for treatment response and functional recovery, this book showcases innovations that optimize physical therapy outcomes for cancer patients. It also addresses ethical challenges, data governance and the integration of AI within clinical workflows. Designed for clinicians, researchers and healthcare innovators, this book is a vital resource for understanding how AI bridges the gap between oncology care and rehabilitative physiotherapy. [448 Pages, Hardcover]
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AI-driven Innovations in Physiotherapy and Oncology, Volume 1
AI-driven Innovations in Physiotherapy and Oncology 1 explores the transformative impact of artificial intelligence (AI) on two critical domains of healthcare. As the global demand for personalized, efficient and data-driven medical interventions increases, this book offers a timely examination of how AI technologies are reshaping clinical practices in both physiotherapy and oncology. The book explores how AI supports early cancer detection, personalized treatment planning and monitoring of disease progression, while also playing a pivotal role in physiotherapy by enabling intelligent rehabilitation strategies tailored to oncology patients. From AI-driven motion analysis and virtual physiotherapy assistants to predictive models for treatment response and functional recovery, this book showcases innovations that optimize physical therapy outcomes for cancer patients. It also addresses ethical challenges, data governance and the integration of AI within clinical workflows. Designed for clinicians, researchers and healthcare innovators, this book is a vital resource for understanding how AI bridges the gap between oncology care and rehabilitative physiotherapy. [400 Pages, Hardcover]
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Move First, Align Fast
A start-to-finish manual for aligning your organization's teams with the latest AI technologies In Move First, Align Fast: Frameworks and Scorecards for Human-AI Alignment, seasoned technology and transformation leader Deepika Chopra delivers a comprehensive toolkit and guide for the people side of AI implementation. This is a step-by-step walkthrough for the human beings who will lead and participate in your organization's AI transformation. It's also an expansive collection of frameworks, scorecards, measurement tools, and interpretation guides for company leaders who want to keep their change initiatives on track and on schedule. Chopra offers you practical resources, including the ACT Framework, ACT+M(TM) Scorecard, and the Human-AI Alignment Score (HAAS(TM)), that she developed and refined through her decades-long career advising organizations like Citi, AIG, Siemens, and LPL. You'll use them to ensure that you're able to translate your strategy, tools, and your teams' technical skills into a firm with powerful new capabilities. Inside the book: * Detailed walkthroughs for leaders who want to build new, AI-enabled organizations defined by trust, alignment, and a culture of innovation * Effective strategies suited to both high-growth startup environments and large enterprises seeking to implement foundational changes to the way they use AI * Detailed discussions of the Align, Cultivate, and Transform (ACT) Framework and the tools you need to measure your progress as you implement it across your teams Virtually every organization in every industry can easily access powerful AI technologies with the potential to transform the way they do business. It's become increasingly clear that the bottleneck is almost always cultivating teams that effectively deploy and integrate those technologies in a way that executes on the strategic vision of their leaders. Move First, Align Fast is the roadmap that business and technology leaders have been waiting for to help them implement new technical capabilities into their companies in ways that ensure they'll actually be used to their fullest potential. It's an expert guide to aligning your human resources with the latest AI tools that will prove invaluable to managers, executives, entrepreneurs, and founders everywhere. [352 Pages, Hardcover]
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Machine Learning For Dummies
The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning--the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go--and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. * Piece together what machine learning is, what it can do, and what it can't do * Learn the basics of machine learning code and how it integrates with large datasets * Understand the mathematical principles that AI uses to make itself smarter * Consider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning. [448 Pages, Softcover]
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Defense in Depth
Up-to-date reference on the evolving landscape of cybersecurity, focusing on strategies that integrate AI, blockchain, and human factors Defense in Depth delivers a comprehensive guide to the rapidly developing field of digital threats and defenses. This book examines how defense-in-depth approaches integrate multiple layers of security to protect against a wide range of threats; how AI technologies are being utilized for threat detection, response, and prediction; and how blockchain technology can be leveraged to enhance security measures, particularly in ensuring data integrity and securing transactions. Case studies of significant cyberattacks are included throughout the text to elucidate key concepts. The book discusses additional topics such as: * The critical importance of cybersecurity in today's interconnected world and the historical evolution of cyber threats, highlighting modern attack vectors * Core principles of defense, detailing layered security measures across networks, applications, data, and endpoints * Human factors, often the weakest link in cybersecurity, with strategies for mitigating risks * Machine learning and neural networks and their usage in AI-driven security solutions across finance, healthcare, and government * Advanced defense techniques, practical applications, and future directions in cybersecurity Defense in Depth is an essential reference on the state of the art in the field for cybersecurity professionals, IT practitioners, and researchers. It is also an excellent learning aid for advanced students in cybersecurity, particularly those in graduate programs. [304 Pages, Hardcover]
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