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Applying Artificial Intelligence to Computational Biology and Medical Informatics
Applying Artificial Intelligence to Computational Biology and Medical Informatics
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240,72 €
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343,89 €
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Applying Artificial Intelligence to Computational Biology and Medical Informatics explores the transformative role of AI and machine learning in modern biomedical research and healthcare. The book covers foundational concepts in AI/ML, computational biology, and medical informatics, followed by in-depth chapters on medical imaging, network biology, chemoinformatics, and public health. Other sections address ethical and societal implications, interpretable AI, and real-world case studies, making…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 220
  • ISBN-10: 0443449155
  • ISBN-13: 9780443449154
  • Kalba: Anglų

Applying Artificial Intelligence to Computational Biology and Medical Informatics (el. knyga) (skaityta knyga) | knygos.lt

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Applying Artificial Intelligence to Computational Biology and Medical Informatics explores the transformative role of AI and machine learning in modern biomedical research and healthcare. The book covers foundational concepts in AI/ML, computational biology, and medical informatics, followed by in-depth chapters on medical imaging, network biology, chemoinformatics, and public health. Other sections address ethical and societal implications, interpretable AI, and real-world case studies, making complex topics accessible through clear language and structured content. Designed for early-career researchers, students, and professionals without prior expertise in computer science or health sciences, this book provides a progressive learning path from basic to intermediate levels.

Readers benefit from practical examples, online resources, and a coherent chapter structure that supports both academic study and applied research.

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  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 220
  • ISBN-10: 0443449155
  • ISBN-13: 9780443449154
  • Kalba: Anglų

Applying Artificial Intelligence to Computational Biology and Medical Informatics explores the transformative role of AI and machine learning in modern biomedical research and healthcare. The book covers foundational concepts in AI/ML, computational biology, and medical informatics, followed by in-depth chapters on medical imaging, network biology, chemoinformatics, and public health. Other sections address ethical and societal implications, interpretable AI, and real-world case studies, making complex topics accessible through clear language and structured content. Designed for early-career researchers, students, and professionals without prior expertise in computer science or health sciences, this book provides a progressive learning path from basic to intermediate levels.

Readers benefit from practical examples, online resources, and a coherent chapter structure that supports both academic study and applied research.

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