1st Edition
Next-Generation Diagnostics Bio-Intelligent AI for Imaging and Precision Medicine
Chapter 1: AI-Assisted Biomarker Identification Framework for Targeted Therapies and Early Disease Detection
Abhishek Sharma, Nidhi Sharma, Aksh Chahal, Puspangi Agarwal, Rinku Yadav, Deepashree Rajendraprasad
Chapter 2: IoT-Integrated Wearable Biosensor System for Continuous Health Monitoring and Predictive Healthcare Analytics
Abhishek Sharma, Nidhi Sharma, Aksh Chahal, Puspangi Agarwal, Nishant Saini, Nidal Al Said
Chapter 3: A Smart Healthcare Monitoring Platform Using Wearable Biosensors and IoT for Real-Time Physiological Data Analysis
R. Sundar, Mukthi S. L, M. Lakshminarayana, Nagababu Garigipati, Balasubramani R, M. Deepa, Nidal Al Said
Chapter 4: Hybrid Deep Learning Architectures for Automated Multi-Modal Medical Image Interpretation and Diagnostic Decision Support
Sujay Gejji, Subhashini Tata, Kamaraju Maddu, Naveen N, Balasubramani R, Vijaya R. Kumbhar, Thilak Raj Balasubramanian
Chapter 5: Intelligent MRI-Based Cardiovascular Disease Detection Using Deep Learning and Advanced Image Segmentation Techniques
P. Vanajakshi, Vidyarani H J, Ajay Prakash B V, Nandini N, Ganesh H J, Ganesh H J
Chapter 6: A Bio-Intelligent Artificial Intelligence Framework for Predictive and Personalized Healthcare Analytics
Nilankar Bhanja, Sanjib Kumar Dhara, Mr. Sharath Honnaiah
Chapter 7: Advanced AI-Driven Imaging Techniques for Early Detection and Severity Assessment of Lung Diseases
Sharath Honnaiah, Mahesh Kumar A S, Shwetha K, Rajesh N, Rajesh Kumar Vishwakarma, Vijaya R. Kumbhar
Chapter 8: AI-Powered Dermatological Disease Detection Using High-Resolution Skin Imaging and Pattern Recognition
S. Pushpalatha, Mahesh Kumar A S, Rajesh N, Karthik S A, A. Z. Khan, Vijaya R. Kumbhar, Sathish Srinivasan
Chapter 9: IoT-Integrated Wearable Biosensor System for Continuous Health Monitoring and Predictive Disease Detection
Prabhakar M, Mantripagada Yaswanth Bhanu Murthy, Mahesh Kumar A S, Shwetha K, Rajesh Kumar Vishwakarma, Vijaya R. Kumbhar, Deepashree Rajendraprasad
Chapter 10: Machine Learning-Enabled Precision Diagnostic System for Multi-Disease Risk Prediction
Nalavala Ramanjaneya Reddy, Suresh Kumar Maddila, Chandra Sekhar Kolli, Bhanu Pratap Reddy B, Vadisena Venkata Krishna Reddy, Vishal Bharadwaj Meruga
Chapter 11: Deep Neural Network-Based Brain Imaging Analysis for Early Diagnosis of Neurological Disorders
GAKS Rajeev Kumar, Vinay Podagatlapalli, Chandra Sekhar Kolli, Vadisena Venkata Krishna Reddy, Vishal Bharadwaj Meruga
Chapter 12: AI-Driven Precision Oncology Platform for Personalized Cancer Treatment and Outcome Prediction
Mahesh Kumar A S, Shwetha K, Rajesh N, Vani V, Roopa H, Vijaya R. Kumbhar, Senthilkumar Thangavel
Chapter 13: A Machine Learning-Based Body Fat Analysis Technique for Fitness Goals
Ahona Ghosh, Arunima Banerjee, Nitu Saha, Sayan Seal, Sk Aarman Ali
Chapter 14: Women's Health Imaging for Early Disease Detection of Atherosclerosis Due to Blood Pressure Using the Evaluation of ECG in Wearable Devices
Adaora Osaze-Ogedegbe, Osaze Samuekaris Ogedegbe, Ms. Arundhati K.P, Prof Prema Kirubakaran
Chapter 15: Development of Real-Time Edge AI Model on Ultra-Low-Power Embedded Systems for Seizure Prediction in Wearable Health Devices
Barambu Abdulkadir Umar, Prof. Prema Kirubakaran, Ibrahim Anka Salihu
Chapter 16: Ensemble Random Forest and Naïve Bayes Classifier for COVID Disease Prediction with Electronic Health Records
Prakash K, Sudharsan M
Chapter 17: Neurological Disorder with Brain Imaging AI
Endris Hiyaru Wassie, Selvakumar Subramanian
Chapter 18: Early Res-Dense²Net: A Spectral and Riemannian Geometry-Based Hybrid Deep Learning Architecture for Precision Diabetic Retinopathy Screening
Sudharsan M, Prakash K
Biography
Sudharsan M is an Assistant Professor at Presidency University, India, specializing in AI and ML with 11+ Scopus publications, three book chapters, and 12+ patents including five granted.
K Prakash is an Assistant Professor at Presidency University, India, who has published 13 Scopus-indexed papers, contributed to three book chapters, and holds six patents with three granted internationally.
Ahmed A. Elngar is a Faculty Member at Beni-Suef University, Egypt, and is a globally recognized researcher in AI, Cybersecurity, and Blockchain with over 2000 citations and 20+ h-index.
