Full Description
This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and health care. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes peer reviewed papers presented at the Second International Conference on Innovations in Biotechnology and Health Sciences (BIOCOM 2025), held at London, United Kingdom, during 18-19 February 2025.
Contents
Transfer Learning-Boosted CNN for Computationally Efficient Multi-Cancer Detection.- Novel Integrated Approach for Early Detection of Asperger's Syndrome Using Machine Learning.- Management of Informaciology Processes in Medicine and Health Tourism.- Machine learning for myocardial infarction detection in ECG signals—the influence of the image background.- Efficient Cardiac Image Segmentation with Compressed Vision Transformers and Post-Training Quantization.- Synchronization of Life Science with Data Science: The Roles of Big Data Analytics.- Transfer Learning Techniques for Efficient Deep Neural Networks in Real-Time Strawberry Freshness Evaluation.- Adaptive Clinical Pathways for IDDM Management Using Hybrid Data Stream Mining and Fuzzy Rule Induction.- Are LLMs Ready to Shoulder Biomedical Trust?.
