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The book discusses the transformative role of artificial intelligence in healthcare, with a focus on bio-AI applications that leverage machine learning, deep learning, and predictive modeling for diagnostics and precision medicine. The book will focus on data acquisition and preprocessing in clinical and biomedical contexts, machine learning techniques for healthcare classification and prediction, deep learning applications in medical imaging and genomics, predictive analytics for patient outcomes and risk assessment, hybrid models and ensemble learning for AI-driven decision support systems, and telemedicine applications in public health. The book is primarily written for academics and researchers in AI, biomedical informatics, and healthcare technology, healthcare professionals seeking AI-driven diagnostic solutions, industry leaders in biotechnology and digital health, graduate and postgraduate students in computer science, biomedical engineering, healthcare informatics, and applied AI programs.
The book discusses the transformative role of artificial intelligence in healthcare, with a focus on bio-AI applications that leverage machine learning, deep learning, and predictive modeling for diagnostics and precision medicine. The book will focus on data acquisition and preprocessing in clinical and biomedical contexts, machine learning techniques for healthcare classification and prediction, deep learning applications in medical imaging and genomics, predictive analytics for patient outcomes and risk assessment, hybrid models and ensemble learning for AI-driven decision support systems, and telemedicine applications in public health. The book is primarily written for academics and researchers in AI, biomedical informatics, and healthcare technology, healthcare professionals seeking AI-driven diagnostic solutions, industry leaders in biotechnology and digital health, graduate and postgraduate students in computer science, biomedical engineering, healthcare informatics, and applied AI programs.
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