Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans
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AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans
AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, individualized care by forecasting disease risks, optimizing treatment plans, and enabling real-time health monitoring. AI-driven digital twins offer insights into how various treatments, environmental factors, and lifestyle changes might affect long-term health. As healthcare becomes data-driven, the potential of AI-powered digital twins to transform patient care may reduce hospital admissions, improve outcomes, and reshape the future of medicine. AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans explores the science, technology, and real-world applications behind digital twins. It examines how these digital replicas are used for predictive healthcare, accelerating drug discovery, simulating surgical outcomes, and personalizing therapeutic interventions based on real-time, AI-driven insights. This book covers topics such as digital twins, healthcare monitoring, and ethics and law, and is a useful resource engineers, healthcare professionals, academicians, researchers, and scientists.
Application of AI in the Teaching and Learning of English as a Foreign Language (EFL)
The application of artificial intelligence (AI) in the teaching and learning of English as a Foreign Language (EFL) transforms traditional educational practices by offering more personalized, efficient, and interactive learning experiences. AI-powered tools enable learners to receive instant feedback, engage in conversational practice, and tailor content to individual learning styles. AI facilitates adaptive learning platforms that analyze students’ progress and adjust difficulty and content type. For educators, AI can assist in automating administrative tasks, assessing student performance, and identifying areas for learner support. Further research may enable more data-informed and responsive teaching strategies in EFL contexts. Application of AI in the Teaching and Learning of English as a Foreign Language (EFL) explores the application of AI in the teaching and learning of EFL. Through an applied linguistics lens, this publication examines how AI technologies transform traditional EFL methodologies, addressing the potential of AI to personalize learning, optimize language assessment, and facilitate language acquisition, while also tackling challenges, ethical considerations, and the need for interdisciplinary collaboration. This book covers topics such as ethics and law, lexicology, and gamification, and is a useful resource for educators, linguists and language experts, computer engineers, academicians, researchers, and scientists.
Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare
This book describes how the creation of new digital services—through vertical and horizontal integration of data coming from sensors on top of existing legacy systems—that has already had a major impact on industry is now extending to healthcare. The book describes the fourth industrial revolution (i.e. Health 4.0), which is based on virtualization and service aggregation. It shows how sensors, embedded systems, and cyber-physical systems are fundamentally changing the way industrial processes work, their business models, and how we consume, while also affecting the health and care domains. Chapters describe the technology behind the shift of point of care to point of need and away from hospitals and institutions; how care will be delivered virtually outside hospitals; that services will be tailored to individuals rather than being designed as statistical averages; that data analytics will be used to help patients to manage their chronic conditions with help of smart devices; and that pharmaceuticals will be interactive to help prevent adverse reactions. The topics presented will have an impact on a variety of healthcare stakeholders in a continuously global and hyper-connected world. · Presents explanations of emerging topics as they relate to e-health, such as Industry 4.0, Precision Medicine, Mobile Health, 5G, Big Data, and Cyber-physical systems; · Provides overviews of technologies in addition to possible application scenarios and market conditions; · Features comprehensive demographic and statistic coverage of Health 4.0 presented in a graphical manner.