Rademics Logo

Rademics Research Institute

Convergence of Machine Learning, IoT, Nanomedicine, and Ayurvedic Intelligence for Precision and Preventive Healthcare

Dr. Raghavendra T. S, Ms. M. Velammal, Mrs. Swati Kedar Nadgaundi, Dr. Parameswaran. T

Indexed In: Google scholar

Release Date: 18/12/2025 | Copyright:©2025 | Pages: 447

DOI: 10.71443/9789349552883

ISBN10: 9349552884 | ISBN13: 9789349552883

Hardcover:$300

Available
Buy Now
E - Book:$225

Available
Buy Now
Individual Chapters:$$35

Available
Buy Now

This book explores the integration of Machine Learning (ML), Internet of Things (IoT), Nanomedicine, and Ayurvedic Intelligence to revolutionize precision and preventive healthcare. By combining the data-driven insights of ML, real-time monitoring through IoT, targeted therapies via Nanomedicine, and the holistic approaches of Ayurveda, this work examines how these technologies can collectively enhance diagnosis, treatment, and prevention. It highlights their potential to offer personalized, proactive healthcare solutions that address individual needs and improve overall well-being, bridging the gap between modern science and traditional wisdom.

This book delves into the convergence of Machine Learning (ML), Internet of Things (IoT), Nanomedicine, and Ayurvedic Intelligence to revolutionize precision and preventive healthcare. It explores how ML enhances predictive analytics and personalized treatment, while IoT enables real-time health monitoring through wearable devices. The integration of Nanomedicine allows for targeted therapies at the molecular level, offering breakthroughs in disease treatment and regeneration. Ayurvedic Intelligence contributes a holistic approach to healthcare, focusing on personalized wellness and prevention based on traditional principles. The book examines how these technologies, when combined, can provide tailored solutions for individual health needs, improve patient outcomes, and foster a proactive approach to wellness. It also addresses the challenges and ethical considerations of integrating modern technology with traditional wisdom, while exploring the future potential of these converging fields in shaping the healthcare landscape.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Artificial Intelligence and Machine Learning: The Next Frontier in Predictive and Preventive Healthcare

Dinesh Kumar Yadav, Ismatha Begum

(Pages:36)

Chapter 2

Machine Learning-Based Predictive Framework for Early Cancer Diagnosis and Classification

Neha Goel, Sandeep Dongre

(Pages:39)

Chapter 3

AI-Driven Oncological Analytics for Tumor Growth Detection and Metastasis Prediction

Neha Goel, Shirley Josephine Mary R

(Pages:36)

Chapter 4

IoT-Enabled Real-Time Cancer Monitoring Systems Using Biosensors and Cloud Intelligence

Neha Goel, Manish Jain

(Pages:33)

Chapter 5

Nanoparticle-Enhanced Targeted Drug Delivery Systems for Cancer Therapy

Neha Goel, Rajesh. K

(Pages:38)

Chapter 6

Deep Learning Models for Kidney Stone Detection and Treatment Recommendation

Neha Goel, K. Srinivasa Rao

(Pages:35)

Chapter 7

AI-Powered Ultrasound and CT Image Processing for Renal Disorder Analysis

Aniruddha S Rumale, Neha Parikshit Rumale

(Pages:36)

Chapter 8

Hybrid AI “IoT Framework for Emergency Response Systems in Cardiac Arrest Management

Ritesh Kumar Srivastava, Rahul Kumar Mishra

(Pages:37)

Chapter 9

Integrating Ayurvedic Pharmacology with Nanotechnology for Precision Medicine

Parveen Kumar, Bharti Yadav

(Pages:34)

Chapter 10

Hybrid AI “Ayurvedic Therapies for Cancer and Chronic Disease Management

Vrundan Jayswal, Deelip B. Radkar

(Pages:31)

Chapter 11

Nanoparticle-Assisted Herbal Drug Delivery Systems: Bridging Ayurveda and Nanomedicine

Sanjay R. Kumavat, Surekha D. Wani

(Pages:33)

Chapter 12

AI-Guided Nanoparticle Design for Targeted Drug Delivery and Controlled Release

S. Kanimozhi, Jayalakshmi Pandranki

(Pages:36)

Chapter 13

Machine Learning in Nanomedicine: Predictive Models for Drug Efficacy and Toxicity

Neha Goel, Tejaswi Vallabhapurapu

(Pages:37)

Chapter 14

Integration of Biosensors and Nanoparticles in IoT-Based Health Monitoring Systems

S. Kanimozhi, Pradeep Devendra Gaikwad

(Pages:34)

Chapter 15

The Future of AI, IoT, Nanotechnology, and Ayurveda Integration in Intelligent Healthcare Systems

V. Bhoopathy, Ganesh Baswaraj Birajadar

(Pages:35)


Contributions


Dr. Raghavendra T. S. serves as an Associate Professor in the Department of Computer Science at S-VYASA Deemed to be University, Bangalore. With over two decades of academic and research experience, he has established himself as a distinguished scholar and educator. He earned his Ph.D. in Computer Science and Engineering from Presidency University in 2023. His pedagogical expertise encompasses Data Structures, Algorithms, Robotic Process Automation, and Software Testing. He has played a pivotal role in curriculum design, academic administration, and the coordination of institutional examinations. His research contributions address critical domains such as data aggregation, e-waste management, and secure mobile networks. He has also demonstrated innovation through the development of IoT-based systems, including a patented wearable device for accident prevention. Dr. Raghavendra continues to advance technological scholarship through impactful teaching, research, and institutional leadership.

Ms. M. Velammal is an experienced and qualified academician, researcher and educationalist currently serving as an assistant professor in the Department of Information Technology at Karpagam College of Engineering, Coimbatore. She obtained her post graduate degree in Computer Science and Engineering from Anna University regional campus, Tirunelveli with distinction, and her undergraduate degree in Computer Science and Engineering from Infant Jesus College of Engineering. Currently She is pursuing her Ph.D. in Computer science and Engineering at Anna University. As a dedicated researcher, she has presented at numerous conferences and published several research papers in reputed Scopus-indexed journals. She also holds two patents, demonstrating her commitment to innovation and academic excellence. Passionate about Image Processing in Deep Learning as a research area, she continues to contribute actively to the academic and scientific community.

Mrs. Swati Kedar Nadgaundi M.E (Biomedical Instrumentation) currently working as an Assistant professor in Bharati Vidyapeeth College of Engineering, Navi Mumbai, Maharashtra India. I have 28 years of teaching experience. He has published 3 reaseach articles in journals and 4 articles in national and international conferences. I am an active life member in Indian Society Technical Education. My research interest is in the area of Biomedical and integrating new Technology AI ML with it.

Dr. Parameswaran. T has received his B.E degree in Electronics and Communication Engineering from Velalar College of Engineering and Technology, Erode, and M.E degree in Software Engineering from College of Engineering Guindy, under Anna University Chennai in 2005 and 2008 respectively. He has completed Ph.D. degree from Anna University Chennai in the year 2017. He is currently working as Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, CMR University, Bangalore, Karnataka, India. He has authored more than 70 research articles in various journals and conferences and filed & published 8 patents in Indian and Australian patent journal. He has organized 12 national level workshops. His research interests include Network Security, Cloud Computing, Mobile Application Development, IOT and Data science. He has more than 18 years of Teaching Experience. He is a Life time member of ISTE.

Internet Achieves