This book constitutes the revised selected papers of the Third International Conference on Biomedical Engineering Science and Technology, ICBEST 2025, held in Raipur, India, during April 10-11, 2025.

The 51 full papers presented in this book were carefully reviewed and selected from 112 submissions. The papers focus on the following domains: artificial intelligence in healthcare, computational mechanics in healthcare, and health informatics.

Inhalt

.- A Novel Approach for Diabetic Retinopathy Detection with Class Imbalanced Datasets.

.- 3D Modeling and Analysis in OCT-Angiography: Enhancing Diabetic Retinopathy Diagnosis and Vascular Assessment.

.- A Novel Framework for ECG Signal Analysis.

.- A Review of the Dissolution Models for Drug-Encapsulated Polymers.

.- A Study on Hemodynamics of Brain Prefrontal Cortex During Visuospatial.

.- Advancing Virtual Reality as Assistive Technology for Dementia Care with Neural Radiance Fields.

.- AI-Enabled Automated Strabismus Detection and Corneal Deviation.

.- Arterial study of diabetic and healthy subjects using ECG and PPG signals.

.- Assessment of arterial stiffness in type-2 diabetes using Photoplethysmogram signals.

.- Attention-Driven U-Net Models for Accurate Brain Tumor Segmentation.

.- Breast Cancer Detection Using Metaheuristic Algorithms: A Comparative Study.

.- Chemiluminescence Sensing with Smartphone for Bio Marker Detection in Biomedical Applications.

.- Comparative Investigation of Ti-6Al-4V and CoCr Alloys Acetabular Shells on Stability during Routine Activities-A Computational Approach.

.- Deep Insights in Brain Tumour Classification using Deep Learning and Explainable AI Tools.

.- Deep Learning Based Framework for Medical Image Authentication and Tampering Detection.

.- Deep Learning based Multi-Class Classification of Dental Diseases using OPG Images.

.- Design of Orthosis for Ankle Inversion Injuries.

.- Evaluation of Antitubercular Drug Release Kinetics from Polylactic Acid - Polyethylene Glycol Diblock Nano-Carriers.

.- Eye Movement-Based Wheelchair Control with Emotion Detector and Obstacle Detection.

.- Hydrogen Sensors: A Review.

.- Is the Current GSR Dataset Sufficient for Learning for Visually Impaired Persons? A Physiological Perspective.

.- Menger-based bone scaffold design and mechanical analysis.

.- Multimodal Fusion Framework for Accurate Insomnia Detection.

.- Neurodegenerative Diseases: Understanding Risk Factors, Preventive Measures and the Significance of Early Detection and Neurorehabilitation.

.- Optimized DenseNet-Based Plant Disease Detection and Multiclass Classification.

.- Optimizing MRI-Based Brain Tumor Classification: A Study on Model Efficiency and Accuracy.

.- Organ-Specific Cancer Diagnosis: A Machine Learning-Based GUI Approach.

.- Parkinson's Disease Detection using Transfer Learning based Autoencoder model.

.- Prediction Of Liver Stiffness Using Elastographic Images Fibroscan.

.- Principal Component Analysis for Pattern Recognition and Characterization of Homeopathy Dilutions.

.- Protocol for Integrating VR Therapy in Post-Stroke Up-per Limb Rehabilitation.

.- Review of a Sensor-Based Method for Monitoring Exhaled Methane for Gut Health Assessment.

.- Utilizing Deep learning and Quantum techniques for precision Skin Cancer diagnosis using Histopathological and Genomic data.

.- Design and Development of Robotic Arm for Tele-Surgical and Diagnostic Applications.

.- Development Of Ultrasound-Mediated Transdermal Drug Delivery System.

.- IoT-Integrated Ultrasonic Cleaning System for Enhanced Efficiency and Sustainability.

.- Analysis of Ethnic Disparities in Autism Spectrum Disorder among Toddlers.

.- Generating fECG using CGAN for improving performance of deep neural networks.

.- Multi-Class Classification of Eye Disease Using Fundus Images.

.- Multimodal Emotion and Stress Recognition Using EEG and ECG: A Machine Learning Approach with Explainable AI.

.- Enhanced Multilingual Medical Knowledge Extraction and Disease Diagnosis with Optimized Large Language Models.

.- Attention U-Net and CNN-Based Hybrid Models for Precise Brain Tumor Segmentation on BraTS.

.- A Novel Wearable Neckband for Sleep Apnea Monitoring and Diagnosis.

.- Enhancing COVID-19 Detection through Chest CT Imaging with Xception Deep Learning.

.- Intravenous Bag Monitoring and Alert System - A Prototype.

.- Voice Pathology Detection Using Phonation.

.- A.I.D: An Experiment to assist clinicians in evidence-based treatment plans.

.- Development of 3D Printed Life Size Replica of a Bone from CT Scan Data.

.- Investigation of human hepatotoxicity linked to the environ-mental contaminant 4-MBC by network toxicology and mo-lecular docking methodologies.

.- DWT based Classification of Children with Dyslexia from normal by using SVM classifier on EEG Signals.

.- Deep Learning Approaches for Multi-Class Gastrointestinal Disease Detection.