Applying Artificial Intelligence to Computational Biology and Medical Informatics

Mohammad Sufian Badar, PhD, is a Professor (temporary) in the Department of Computer Science and Engineering, SEST, Jamia Hamdard, New Delhi, India. Previously, he was Senior Teaching Faculty at UC Riverside, CA, United States, and an Analytics Architect at CenturyLink in Denver, CO, United States. He holds an MS in Molecular Science and Nanotechnology and a PhD in Engineering from Lusiana Tech University. Before that, he earned an MSc. in Bioinformatics from Jamia Millia Islamia, New Delhi. With over 18 years of teaching, research, and industry experience, Dr. Sufian has published in conferences and journals, authored chapters on AI, ML, Blockchain, IoT, Computational Biology, and has six books with Elsevier, Springer, and Bentham. His area of interest is in 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