Generative Intelligence in Healthcare

Sakshi Gupta is presently working as an Assistant Professor at Amity University Noida, Uttar Pradesh in the Amity Institute of Information Technology. She received her Ph.D. degree from the Birla Institute of Technology Mesra, Ranchi, and MCA from Gautam Buddha Technical University Lucknow, Uttar Pradesh. Her areas of interest include the Internet of Things, mobile ad-hoc networks, Body Area Networks, Machine learning, and Deep learning. She also has three published patents. Umesh Gupta is currently an Associate Professor at the School of Computer Science & Artificial Intelligence at Bennett University, Greater Noida, India. He received hi Ph.D. in Machine Learning from the National Institute of Technology, Arunachal Pradesh, India. He was awarded a gold medal for his Master’s of Engineering (M.E.) from the National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, India, and Bachelor of Technology (B.Tech.) from Dr APJ, Abdul Kalam Technical University, Lucknow, India. He has more than 14 years of work experience in Academics and Research. His research interests include SVM, ELM, RVFL, machine learning, and deep learning approaches. He published three patents in the years 2021–2023. Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, GGSIPU Delhi. His research areas include Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is currently a doctoral researcher at DCR University of Science and Technology, Haryana. Kamal Malik is currently a Professor in CSE in School of Engineering and Technology at CTU Ludhiana, Punjab, India. Her major areas of research are Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Computational Neurosciences and bio-inspired computing. She has more than 13 years of academic and research experience. Her passion is to teach computer science engineering and to encourage critical thinking for her students in domains like Machine Learning, Data Science, Business Analytics, Cloud Computing, Internet of Things and Blockchain.

Chapter 1- Drug Discovery and Development with Generative Artificial Intelligence

Chapter 2- Generative Models for Image-to-Image Translation: Theoretical Insights, Methodological Frameworks, and Practical Applications

Chapter 3- Generative Models in Medical Imaging

Chapter 4- Revolutionizing Healthcare: The Impact of Generative AI and Large Language Models

Chapter 5- Artificial Intelligence in nanocarrier design and drug deliveries via nanorobotics based personalized medicine for cancer diagnostic and therapy

Chapter 6- Large Language Models in Healthcare Information Systems: Overcoming Challenges to Achieve Personalized Care

Chapter 7- Predictive Analytics for Early Cancer Detection using Machine Learning and Generative AI

Chapter 8- Revolutionizing Medicine: The Impact of Artificial Intelligence in Healthcare

Chapter 9- Deep Learning Innovations in Healthcare: Early Detection of Alzheimer's Disease

Chapter 10- Generative AI in Personalized Medicine: Enhancing Data Privacy and Precision Treatment

Chapter 11- Transforming Healthcare through Generative AI

Chapter 12- Balancing Tradition and Technology Using Machine Learning to Analyse Melodies and Pitches in Carnatic Music

Chapter 13- Unlocking Healthcare's Potential with Natural Language Processing

Chapter 14- Recent applications of artificial intelligence in the process of drug discovery and development