Nanosensors As Robust Non Invasive Diagnostic Tools For Remote Health Monitoring
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Nanosensors as Robust Non-Invasive Diagnostic Tools for Remote Health Monitoring
This book addresses advancement in nanomaterials to design and develop non-invasive healthcare sensors including a combination of hybrid nanocomposites to design non-invasive devices for diagnosing human diseases. The cost-effectiveness is addressed with the methodologies to increase the scalability of the fabrication process. It aims to provide a complete end-to-end solution for smart non-invasive diagnosis developed indigenously and is a cost-effective complete guide to implement a deployable healthcare solution in real-time scenarios. Key Features: Focuses on the design and development of healthcare sensor devices. Reviews different AI techniques using senors for healthcare. Focuses on the application of nanomaterials in different biosensing applications. Explores non-invasive and painless diagnosis with remote healthcare. Discusses remote healthcare with IoMT integration and smart app communication. This book is aimed at graduate students and researchers in biomedical engineering, medical devices, machine learning/pattern recognition, and nanotechnology.
The Prediction of Future Pandemics
Prediction of the Future Pandemic: Artificial Intelligence and Nanotechnology Approaches provides a comprehensive account of the applications, challenges, and breakthroughs in using AI and nanotechnology for pandemic prediction. The book emphasizes interdisciplinary collaboration among experts and a global perspective on the prediction of future pandemics. Sections provide a comprehensive exploration of cutting-edge methodologies that leverage AI and nanotechnology to predict, analyze, and combat future pandemics. This book aims to bridge the gap between theoretical concepts and practical applications, offering insights into the integration of these advanced technologies for more accurate, timely, and ethical pandemic predictions. - Offers an in-depth examination of the integration of AI and nanotechnology in pandemic prediction - Covers many nanotechnology applications in pandemic prediction, such as nanorobotics for targeted intervention, the role of nanomaterials in prevention strategies, viral detection/nanosensors in quarantine enforcement, and nanocomposite resilience (building pandemic-proof materials) - Helps readers get to grips with the fast-evolving landscape of AI, nanotechnology, and global health - Covers both the theory and real-world applications of AI and nanotechnology in predicting pandemics - Discusses the fast-changing connection between AI, nanotechnology, and pandemic prediction
Sensor Networks for Smart Hospitals
Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. - Describes the fundamentals of sensors, biosensors, and smart hospitals - Explains how sensors and implanted nanodevices can be used in smart healthcare - Discusses how intelligent wireless medical sensor networks can be used for healthcare in the future - Companion volume to Advanced Sensors for Smart Healthcare