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(Eudoxia Research University, New Castle, USA)
Dr. I. D. Soubache is an academician and researcher with over 20+ years of teaching experience and 4 years of industry experience. He is an Professor and Currently Pursuing Post-Doctoral Fellowship (PDF) at Eudoxia Research University, New Castle, USA. He has dedicated his career to higher education, research, and academic development, serving in various teaching positions in colleges and universities. His professional journey combines strong academic knowledge with valuable industrial exposure. He has published more than 60 research papers in reputed international journals and holds over 70 international and national patents and copyrights. His research interests include innovation, interdisciplinary studies, and research development, and he continues to contribute actively to academic growth and quality education.
Short Description / Abstract Next-Generation AI-Driven Healthcare Systems for Disease Prediction, Diagnosis and Therapeutic Optimization explores the transformative role of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in modern healthcare. The book covers AI-based approaches for disease prediction, early diagnosis, risk assessment, medical image analysis, remote health monitoring, disease progression prediction, and personalized therapeutic optimization. It addresses applications involving chronic diseases, cancer, cardiovascular disorders, diabetes, kidney and liver diseases, neurological conditions, infectious diseases, and respiratory illnesses. The volume also examines emerging technologies such as multimodal deep learning, the Internet of Things (IoT), Explainable AI, federated learning, and intelligent clinical decision support systems. Furthermore, it highlights challenges related to data quality, privacy, algorithmic bias, model interpretability, ethical implementation, and clinical validation. This book serves as a valuable reference for researchers, academicians, healthcare professionals, postgraduate students, and technology practitioners interested in developing reliable, transparent, and patient-centred AI-driven healthcare solutions.