£475.00

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£475 today · cheaper than every other day in the last 3 months

Harnessing AI and Machine Learning for Precision Wellness

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Last 79 days · 79 data points (no recent data)

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£475.00 £451.25 £460.75 £470.25 £479.75 £489.25 £498.75 12 August 2026 31 August 2026 20 September 2026 09 October 2026 29 October 2026
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Price distribution over 79 days • 1 price levels

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79 days 0 20 40 59 79 £475 Days at Price

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Most common price: £475 (79 days, 100.0%)

Price range: £475 - £475

Price levels: 1 different prices over 79 days

Description

Advancements in artificial intelligence and machine learning are reshaping healthcare by enabling highly personalized wellness strategies tailored to individual needs. By analyzing vast datasets, including genetic, biometric, and lifestyle information, these technologies can predict disease risks, optimize treatment plans, and recommend proactive health interventions. Precision wellness moves beyond traditional healthcare models, offering dynamic, adaptive solutions that evolve with new scientific discoveries. This shift has the potential to reduce healthcare costs, alleviate the burden on medical systems, and improve overall health outcomes. However, ethical considerations, data privacy, and equitable access remain crucial challenges in realizing the full benefits of AI-driven healthcare. Harnessing AI and Machine Learning for Precision Wellness demystifies the complex world of AI and machine learning in healthcare, exploring how these technologies are being applied across various aspects of wellness. It delves into the mathematical foundations that underpin these technologies, examines real-world case studies, and discusses the ethical considerations that must guide their implementation. This book covers topics such as mathematics, mental health, and preventive care, and is a useful resource for medical and healthcare professionals, computer engineers, data scientists, psychologists, academicians, and researchers.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 March 2025
Listed Since
10 March 2025

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