Applying Artificial Intelligence to Computational Biology and Medical Informatics

Häftad, Engelska, 2026

2 169 kr

Kommande

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.

Introduces foundational concepts in AI, machine learning, computational biology, and medical informatics, enabling readers from diverse academic backgrounds to build a solid interdisciplinary understanding
Presents real-world case studies and practical applications of AI/ML in disease diagnosis, treatment, and public health, fostering translational insights and research relevance
Maintains a coherent pedagogical structure that progresses from basic to intermediate levels, supporting both self-paced learning and integration into academic curricula

Produktinformation

Utgivningsdatum2026-09-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor220
FörlagElsevier Science
ISBN9780443449154

Tillhör följande kategorier

Biovetenskap inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Mohammad Sufian Badar, PhD, is an Assistant Professor in the Department of Computer Science and Engineering, SEST, Jamia Hamdard, New Delhi. Previously, he was a Senior Teaching Faculty at UC Riverside, CA, USA, and an Analytics Architect at CenturyLink in Denver, CO, USA. He holds an MS in Molecular Science and Nanotechnology and a PhD in Engineering from Louisiana Tech University. He earned an MSc in Bioinformatics from Jamia Millia Islamia, New Delhi. With many years of teaching, research, and industry experience, Dr. Badar has published in conferences and journals, authored chapters on AI, machine learning, blockchain, IoT, and computational biology and has edited and authored several books in his area of interest like AI, ML, computational biology, and the integration of AI/ ML with health sciences.

1. Introduction to AI/ML, Computational Biology, and Medical Informatics2. AI/ML Applications in Medical Imaging3. Natural Language Technologies in Biomedical Domain4. AI/ML in Chemoinformatics5. Deep Learning Methods for Network Biology6. Probabilistic Optimization of ML for Heart Disease Prediction7. The Need for Interpretable and Explainable Deep Learning Data in Health Care8. Using hybrid models in healthcare data9. Improving Disease Prediction by Integrating Multiple ML and Optimization Techniques10. Ethical, Societal, and Legal Issues in AI/ML for Healthcare11. Deep Learning in Gait Abnormality Detection: Principles and Illustrations12. Broad Applications of Network Embedding in Computational Biology, Genomics, Medicine, and Health13. AI Use in Clinical Prediction14. AI/ML for Medical Informatics and Public Health15. AI in Medical Imaging for Developing Countries: Challenges and Opportunities16. AI Applications in Disease Diagnosis and Treatment: New Applications