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Digital Medical Twins for Personalized Healthcare
Generative AI and Multi-Modal Approaches for Predictive Diagnostics and Precision Medicine
Angleščina
366 b
Kmalu
Novo
Izdaje 01. 02. 2027
Do 30 dni za vračilo
Digital Medical Twins for Personalized Healthcare: Generative AI and Multi-Modal Approaches for Predictive Diagnostics and Precision Medicine presents a rigorous, evidence-based framework for building patient-specific digital replicas that support clinical decision-making and research innovation. The field integrates electronic health records, imaging, genomics, and continuous wearable data into dynamic models that simulate disease trajectories and treatment responses. Readers confront a evolving landscape of AI methods, privacy requirements, and regulatory expectations; this book offers a coherent, practical reference designed for scientists, and health-system professionals seeking to translate digital twins from concept to care delivery.
- Provides foundational concepts and practical guidance for digital medical twins
- Integrates generative and multi-modal AI to enhance patient data modeling
- Addresses explainability, privacy, and regulatory alignment for clinical data use
- Offers cross-disciplinary case studies across cardiology, oncology, neurology, and preventive care
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