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Artificial Intelligence and Blockchain in Precision Medicine and Virology

Artificial Intelligence and Blockchain in Precision Medicine and Virology Medicine

Artificial Intelligence and Blockchain in Precision Medicine and Virology

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Description
Part 1. Fundamentals of AI and Deep Learning in Healthcare.- Chapter 1. Artificial Intelligence and Deep Learning in Healthcare.- Chapter 2. Human-Centric Artificial Intelligence (HCAI) for Precision Clinical and Medical Virology.- Chapter 3. Deep Learning Algorithms and Techniques.- Chapter 4. Applications of Deep Learning in Virology.- Part 2. AI and Blockchain Applications in Medical Virology.- Chapter 5. Deep Learning in Viral Diagnosis: Case Studies and Emerging Frameworks for Precision Medical Virology.- Chapter 6. Implementing Machine Learning for Analyzing Influenza A Virus with Hemagglutinin Sequences.- Chapter 7. Transforming Global Health: The Impact of AI and Blockchain on Viral Disease Control.- Chapter 8. A blockchain-based trust architecture for securing pandemic test results in decentralized health networks.- Chapter 9. Building Trust through AI: AI Approaches to Medical Virology in Future Healthcare Systems.- Chapter 10. Integrating Federated Deep Learning and Blockchain for Privacy-Preserving Precision Medicine in Medical Virology.- Chapter 11. Integrating Deep Convolutional Neural Network with Blockchain for Secure and Transparent Data Management in Decentralized Healthcare Systems.- Chapter 12. Case Studies: Blockchain in Medical Virology.- Part 3. Advanced AI for Disease Prediction and Medical Innovations.- Chapter 13. Bio-Inspired Approaches for Optimal Kidney Paired Donation (Infectious Risk Analysis).- Chapter 14. Anemia Prediction Based on Eye Condition Data.- Chapter 15. AI for Multi-Region Tumour Detection: Enhancing Human Workflow in Full-Body Scans.- Chapter 16. Enhancing classification accuracy in virology through deep learning for accurate virus identification from tem imagery.- Chapter 17. Advancing prognostic insights: a novel deep learning algorithm to predict outcomes in amyotrophic lateral sclerosis.- Chapter 18. Cultivating Innovative AI Paradigms for Enriching Patient Engagement and Elevating Telehealth Services.- Chapter 19. Ethical and legal considerations in leveraging ai and blockchain for equitable healthcare access for disabled populations.- Chapter 20. Analysing the Impact & Challenges of Deep Learning Models in Virology.
Product details
Number of Pages:
528
Release Date:
2025-09-27
Publication Date:
2025-09-27
Publisher:
Springer
Languages:
Original: English
ISBN10:
981968918X
ISBN13:
9789819689187
GPSR Manufacturer Reference:
Weight:
949 g
Height:
160 cm
Width:
241 cm
Thickness:
34 cm
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