Next-Generation Therapeutics Using Internet of Things and Machine Learning

The integration of the Internet of Things (IoT) and Machine Learning (ML) is revolutionizing healthcare and environmental management by enabling real-time monitoring, predictive analytics, and personalized interventions. These technologies enhance patient care by facilitating early disease detection, remote monitoring, and data-driven treatment strategies, ultimately improving health outcomes. In environmental management, IoT and ML contribute to sustainable solutions by tracking air and water quality, predicting pollution trends, and optimizing resource usage. Their application in decentralized health records and chronic disease management streamlines operations, reduces costs, and empowers individuals with greater control over their health. As these technologies continue to evolve, they hold immense potential to create smarter, more resilient healthcare and environmental systems. Next-Generation Therapeutics Using Internet of Things and Machine Learning provides a comprehensive framework for understanding and implementing IoT and ML in healthcare and environmental monitoring. By exploring practical applications, this book delves into how these technologies are reshaping diagnostics, patient care, operational efficiencies, and environmental sustainability. Covering topics such as artificial intelligence (AI), medical data exchange, and sustainability, this book is an excellent resource for researchers, practitioners, students, and more.

Dr. Mohammed Shuaib is an Assistant Professor at Jazan University, Saudi Arabia, with over 11 years of academic experience. . His international experience includes a visiting research position at INTI International University, Malaysia. Dr. Shuaib’s research achievements include 65 peer-reviewed publications in high-impact journals like Elsevier, Springer, and IEEE Access, four patents, and an H-index of 26 with over 1860 citations. He was recognized among the World Top 2% Scientists by Stanford University in 2024. In addition to research, Dr. Shuaib currently serves as an Associate Editor for Sustainable Computing: Informatics and Systems (Elsevier) and the International Journal of Electrical and Computer Engineering (IAES). He also serves as an Academic Editor for PLOS ONE and the International Journal of RF and Microwave Computer-Aided Engineering (Wiley). Moreover, he is on the editorial boards of Mobile Information Systems (Wiley), Discover Internet of Things (Springer), Journal of Economy and Technology (Elsevier), and International Journal of Information Technology and Web Engineering (IGI Global). These journals are indexed in top databases such as ISI, Web of Science, and Scopus.

Dr. Shadab Alam , currently an Associate Professor at Jazan University, KSA, is an accomplished computer science researcher focusing on information security, blockchain, IoT, and smart healthcare. He completed his PhD in Computer Science from Aligarh Muslim University, India, where he also earned his master's and bachelor's degrees. Dr. Shadab Alam has made substantial contributions to the field of computer science, as evidenced by his publication of over 80 research papers in high-impact journals and prominent international conference proceedings. His innovative work has also led to the acquisition of 05 international patents, including those in the US and Australia, and 03 national patents.He was recognized among the World Top 2% Scientists by Stanford University in 2024. Beyond his research, Dr. Alam is actively involved in the professional community as a senior member of IEEE (SMIEEE) and holds memberships in several esteemed organizations, including CSI, CRSI, ACM, IAENG, CSTA, IACSIT, and ICSE, reflecting his wide influence and commitment to the field. Dr. Shadab Alam's editorial achievements include serving as an Academic Editor for several renowned journals: PLOS ONE, Computational and Mathematical Methods in Medicine, Computational and Mathematical Methods, Security and Communication Networks, and Journal of Computational and Cognitive Engineering. These roles are facilitated through collaborations with publishers like Hindawi, John Wiley & Sons, Inc., and BON VIEW PUBLISHING PTE. LTD, Singapore, signifies his expertise and influence in the field.

Rajaram Ayyasamy received the B.E. degree in Electronics and Communication Engineering from the Government College of Technology, Coimbatore, Anna University, Chennai. He received the M.E. degree in Electronics and Communication Engineering (Applied Electronics) from the Government College of Technology, Anna University, Chennai. He received the Full Time Ph.D. degree in Electronics and Communication Engineering from the Anna University of Technology, Coimbatore. He is currently working as a Professor, ECE Department in E.G.S. Pillay Engineering College, Nagapattinam, India. His research interests include Mobile Ad Hoc networks, wireless communication networks (WiFi, WiMax HighSlot GSM), novel VLSI NOC Design approaches to address issues such as low-power, cross-talk, hardware acceleration,Design issues includes OFDM MIMO and noise Suppression in MAI Systems, ASIC design, Control systems, Fuzzy logic and Networks, AI, Sensor Networks. He has published more SCIE indexed journals

Dr. C Kishor Kumar Reddy , currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 12 years. He has published more than 90 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 15 edited books. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT