Emerging Trends in Computational Biology, Biomedical Engineering, and Health Informatics
Description
This book constitutes the proceedings of the 26th International Conference on Bioinformatics and Computational Biology, BIOCOMP 2025; the 11th International Conference on Biomedical Engineering and Sciences, BIOENG 2025; and the 11th International Conference on Health Informatics and Medical Systems, HIMS 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, which took place in Las Vegas, NV, USA, during July 21-24, 2025.
The BIOCOMP 2025 Conference received a total of 112 submissions, of which 22 papers were accepted. The BIOENG 2025 Conference received 62 submissions, of which 15 papers were accepted. The HIMS 2025 Conference received a total of 197 submissions, of which 41 papers were accepted. This volume includes 38 of the accepted papers from BIOCOMP 2025, BIOENG 2025, and HIMS 2025.
The papers were organized in topical sections as follows: 26th International Conference on Bioinformatics and Computational Biology - BIOCOMP 2025; 11th International Conference on Biomedical Engineering and Sciences - BIOENG 2025; and HIMS 2025: Health Informatics, Data Science, and Tools; HIMS 2025: Health Informatics, Medical Systems, Data Science, and Tools; and Poster Research Papers.
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Content
.- 26th International Conference on Bioinformatics & Computational Biology (BIOCOMP'25)
.- Self-supervised Multimodal Pre-training for Lung Adenocarcinoma Overall Survival Prediction.
.- Robust Unsupervised Classification of Drosophila Cell Dynamics Using DTW and Feature-Based Cluster Consensus.
.- Risk Factors for the Development of Early Onset Cancers.
.- Integrating Pharmacokinetics and Pharmacodynamics Modeling with Quantum Regression for Predicting Herbal Compound Toxicity.
.- Neural Network Benchmarking on ECG Classification.
.- BlurFisheye: A Technique for Enhanced Biological Network Visualization.
.- Leveraging Local LLMs for Taxonomy-Aware Analysis of STRING-Supported Species.
.- Detecting the Most Relevant Slices in MRI Parkinson Disease for Multi-Classification Using Evolutionary Algorithm.
.- A Neural Network Approach for Predicting Cancer-Linked Transcriptional Activity from Epigenetic Signature.
.- 11th International Conference on Biomedical Engineering & Sciences (BIOENG'25)
.- Comparison of Deep Learning Architectures for COVID-19 Multi-class Classification over CT-Scans.
.- Streamlining Breath Analysis Methods for Rapid and Low-Cost Diabetes Detection and Dataset Collection.
.- Novel Composite Nerve Guidance Conduits with Controlled Degradation and Drug Release for Peripheral Nerve Regeneration.
.- 11th International Conference on Health Informatics & Medical Systems (HIMS'25) : SECTION: HEALTH INFORMATICS, DATA SCIENCE, AND TOOLS
.- Home Physical Telerehabilitation System for Patients with Postural Orthostatic Tachycardia Syndrome.
.- Exploring IoT Architecture for Home-Based Physical Telerehabilitation.
.- ALFABEATS: A Machine Learning Based Decision Support Platform for Biomedical Time Series Analysis.
.- Hybrid Stacked and Tuned Ensemble Models for Enhanced Coronary Heart Disease Classification: A Multi-Dataset Study.
.- Benchmarking of Sentence Transformers in Text-Based Drug-Drug Interaction Classification.
.- From Respiration to Heart Sounds: A Comparative Review of Three Radar Systems for Unobtrusive Monitoring.
.- Enhancing Language Assessment in Traumatic Brain Injury: A Situational Approach to Data Precision and Stability Detection.
.- Calma: A Heart Rate Variability-Based Mobile Biofeedback Game for Anxiety Self-Regulation.
.- Using Mobile Technology to Assist in Classification of Potential Carpal Tunnel Syndrome Patients.
.- SECTION: HEALTH INFORMATICS, MEDICAL SYSTEMS, DATA SCIENCE, AND TOOLS
.- Early Prediction of Bladder Cancer Diagnosis Using Structured Claims Data and Machine Learning.
.- Applying Business Intelligence to Cancer Incidence Analysis in a Population-Based Registry.
.- Artificial Intelligence as an Assistant for Pregnancy Journey.
.- Heart Attack Prediction Using Machine Learning: A Comparative Model Evaluation.
.- Random Forest-Based Classification of Critical ECG Rhythms for the Detection of Life-Threatening Cardiac Events.
.- Early Detection of Interstitial Lung Disease Using Machine Learning and Pre-Diagnostic Clinical Features.
.- Correlating Daily Activities and Life Satisfaction to Promote Health Behaviors of Older Adults in the Community.
.- Benchmarking Classic Machine Learning Models for Diabetes Diagnosis: A Performance Evaluation Framework Using Confusion Matrices and ROC Analysis.
.- Machine Learning-Based Breathing Phase Classification of Respiratory Sounds for Pulmonary Health Assessment.
.- MRI-based Deep Learning for Brain Tumour Prediction.
.- Estimating Fall Risk in Older Adults Using Postural Sway Parameters and Machine Learning.
.- Somatic Health Imperative in Severe Mental Illness: Re-evaluating Psychiatric Engagement.
.- Analyzing Speech Impairments: A Machine Learning Approach to Dysarthria Detection.
.- Negative Effects of Alcohol: Software for Educating the Public while Determining Public Awareness.
.- SECTION: POSTER RESEARCH PAPERS
.- Smart Home-Based AI Medicine Recognition System for Elderly Care.
.- Radiomic Biomarker Discovery and Lung Cancer Staging Using Gradient Boosted Decision Trees.
.- A Multivariate Sparse Group Lasso (MSGL) for Lung Cancer Stratification.