Read more
Applications of Artificial Intelligence in Biomedical Sciences presents a comprehensive overview of how Artificial Intelligence (AI) is revolutionizing the fields of biochemistry, biomedical sciences, and healthcare. With the ability to minimize human error, assist medical professionals, and provide round-the-clock patient services, AI has become an indispensable tool in modern medicine. This book highlights its diverse applications, ranging from medical imaging and diagnostics to treatment planning, disease prediction, and healthcare management. Bridging theory and practice, the book introduces the fundamental concepts of biomedical sciences and machine learning, making it accessible to students, early-career researchers, and professionals alike. At the same time, it offers in-depth insights into recent advances and innovative AI techniques for experienced researchers. By addressing real-world healthcare challenges and demonstrating AI-driven solutions, the book serves as both an educational guide and a research reference. It is an essential resource for students, scientists, academicians, and healthcare professionals engaged in the intersection of AI and biomedical sciences.
List of contents
1. Role of Artificial Intelligence in Healthcare and Biomedical Science 2. Applications of Artificial Intelligence in Healthcare 3. Artificial intelligence in the treatment and diagnosis of infectious diseases 4. The role of Artificial Intelligence in Diabetes: A Review of recent Advances 5. Artificial Intelligence in Gynaecology 6. Role of AI in Gastroenterology: Prevention, Diagnostics and Treatment 7. Artificial Intelligence in Drug Delivery 8. Artificial Intelligence in Genomics 9. Trends and Challenges in the Field of Medical Sciences Using AI 10. A Survey of Clinical Decision Support Systems
About the author
Dr. Imran Khan is currently working as an Assistant Professor at Department of Computer Science and Engineering, Harcourt Butler Technical University, Kanpur, India. He completed his Ph.D. from Jamia Millia Islamia, New Delhi, India. He did his Master's in Computer Applications from Aligarh Muslim University, Aligarh, India. He has more than 13 years of both industry as well teaching experience. He worked as Senior Data Scientist at Crysp Analytics, Noida, India. Also, he worked as an Assistant Professor at BVICAM, New Delhi. He published more than 40 research papers in various Journals and Conferences. His area of research is Artificial Intelligence, Machine Learning, Deep Learning and Data Science.
Dr. Santosh Kumar is currently working as an Associate Professor & Head at Department of Chemistry, Harcourt Butler Technical University Kanpur, India. He also served as Research Professor in Department of Organic and Nano System Engineering, Division of Chemical Engineering, Konkuk University, Seoul, South Korea. Dr. Kumar received his B.Sc, M.Sc. in Chemistry and D. Phil. in Organic Chemistry from University of Allahabad, India. He worked as a Research Associate (CSIR) at Department of Chemistry, Motilal Nehru National Institute of Technology, Allahabad, India. He was awarded CAS-TWAS Postdoctoral fellowship in 2008 and worked in Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China. Later he joined as a KU Brain Pool Professor and researcher at the Konkuk University, Seoul, South Korea (2010-2013). He was awarded FCT Postdoctoral Fellowship 2012; worked in Chemistry Centre, University of Coimbra, Coimbra, Portugal (2013-2017). During his career, Dr. Kumar has published a more than 111 research papers, edited 5 books and 21 book chapters, attended and participated in local and international workshops, and conferences. He also served as a member of different organizing committees and an editorial board member and reviewer at a number of scientific journals. Current research interest involves source apportionment of chemical modification, optical and biological properties of chitosan biopolymer for biomedical applications, hydrogel, aerogel, nanomaterials, drug & gene delivery.
