Applying Artificial Intelligence to Computational Biology and Medical Informatics
- 1st Edition - May 1, 2026
- Latest edition
- Editor: Mohammad Sufian Badar
- Language: English
Applying Artificial Intelligence to Computational Biology and Medical Informatics explores the transformative role of AI and machine learning in modern biomedical research and he… Read more
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
2. AI/ML Applications in Medical Imaging
3. Natural Language Technologies in Biomedical Domain
4. AI/ML in Chemoinformatics
5. Deep Learning Methods for Network Biology
6. Probabilistic Optimization of ML for Heart Disease Prediction
7. The Need for Interpretable and Explainable Deep Learning Data in Health Care
8. Ethical, Societal, and Legal Issues in AI/ML for Healthcare
9. Deep Learning in Gait Abnormality Detection: Principles and Illustrations
10. Broad Applications of Network Embedding in Computational Biology, Genomics, Medicine, and Health
11. AI/ML for Medical Informatics and Public Health
- Edition: 1
- Latest edition
- Published: May 1, 2026
- Language: English
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Mohammad Sufian Badar
Mohammad “Sufian” Badar, PhD is currently working as an Professor (Assistant) in the Department of Computer Science and Engineering, School of Engineering Sciences and Technology (SEST), Jamia Hamdard, New Delhi, India. Prior to that, he served as a Senior Teaching Faculty in the Department of Bioengineering at the University of California, Riverside, CA, USA. He served as an Analytics Architect in CenturyLink for more than a year in Denver, CO, USA. He possesses an excellent academic record with an MS degree in Molecular Science and Nanotechnology and a Ph.D. in Engineering from Louisiana Tech University Ruston, LA, USA, respectively. Before joining the Ph.D. program at Louisiana Tech University, he graduated with an MSc in Bioinformatics from Jamia Millia Islamia University, New Delhi, India. Dr. Sufian has over 18 years of teaching, research, and industry experience. He has published his research in conferences and highly reputed international journals. He has authored many chapters in the areas of Artificial Intelligence/Machine Learning and Blockchain/IoT. He has published six books with Elsevier, Springer Nature and Bentham, respectively. He recently submitted three book proposals with different publishers.
He is currently in the process of developing a device that, using Biosensors, can correlate the physiology of the human body with the emotion recognition algorithm, giving us a clear measure of the amount of stress hormones in the body. Currently, he and his group have developed an ML model that predicts COVID-19 infection based on symptoms only, and we are now working on increasing the accuracy of our model.