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AI-Powered Digital Twins for Predictive Healthcare Book

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Description

Explore the future of medical technology with this resource on AI-powered digital twins for predictive healthcare. This work examines how creating virtual replicas of humans can transform the monitoring, diagnosis, and treatment of health conditions. By integrating AI and machine learning with data from wearable devices, medical imaging, genetic profiles, and clinical records, digital twins simulate various health scenarios to predict outcomes with accuracy. This innovation supports proactive and individualized care by forecasting disease risks and optimizing treatment plans. Through real-time health monitoring, these AI-driven digital twins offer deep insights into how different treatments and environmental factors affect human health. This book provides a necessary look into how data-driven virtual models are reshaping the landscape of modern medicine.

Key Features

Learn how AI-powered digital twins create virtual replicas of humans to improve medical monitoring and diagnosis.

Discover how machine learning utilizes wearable devices, medical imaging, and genetic profiles to simulate health scenarios.

Understand how digital twins use clinical records and data to predict health outcomes with accuracy.

Explore methods for proactive, individualized care through disease risk forecasting and optimized treatment plans.

Study the role of real-time health monitoring and environmental factors in AI-driven healthcare models.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 March 2025
Listed Since
02 April 2025

Barcode

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