Bioinformatics and Biomedical Engineering
Description
This two-volume set LNBI 16050-16051 constitutes the proceedings of the 12th International Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2025, held in Canaria, Spain, during July 16-18, 2025.
The 57 full papers presented in these volumes were carefully reviewed and selected from 98 submissions. They were organized into the following topical sections:
Part I: Advances in Deep Learning in Bioinformatics and Bioengineering; Bioinformatics and Biomedical Applications; Biomarker Identification; Biomedical Computing; and Biomedical Engineering.
Part II: Biosensors and Data Acquisition; Emerging Trends and Innovations in E-Health; High Performance in Bioinformatics; Innovations in Cancer Research: The Role of Bioinformatics and Biomedical Engineering; Machine Learning in Bioinformatics and Biomedicine; and Recent Advances in Bioinformatics.
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Content
.- Biosensors and Data Acquisition .
.- Methods for Wearable Electrocardiogram and Photoplethysmogram Synchronization.
.- Optimization of the Tau Parameter in Phase Space Plots for ECG Signal Quality Assessment.
.- Use of the graphic tablet for monitoring and analysis of the spatial and temporal characteristics of a precise manual task.
.- Emerging Trends and Innovations in E-Health .
.- Vision Language Models for Dynamic Human Activity Recognition in Healthcare Settings.
.- Method for detection and analysis of the sit-to-walk transition in older adults. Threshold-based transition detection application: a case study.
.- Agent-Based Modeling of Retinal Development.
.- High Performance in Bioinformatics .
.- Benchmarking variant calling algorithms for the analysis of genomic data in panel sequencing.
.- VCFX: A Minimalist, Modular Toolkit for Streamlined Variant Analysis.
.- Machine Learning-Based Screening Tool for Lung Adenocarcinoma Via Gut Microbiome.
.- Cost-Effective Microbiome Profiling: Abridged Shotgun Sequencing.
.- Correlation between CYP1A2 Genetic Polymorphism and Drug ResponseI.
.- A Systematic Comparison of Phylogenetic Inference Methods Using an Inverse Problem Approach.
.- Innovations in Cancer Research: The Role of Bioinformatics and Biomedical Engineering .
.- Differential Flux-balance Analysis infers metabolic mutations associated with cancer.
.- Explainable AI for Clinical Decision-Making: Unlocking the Potential of MSI Thresholds in Bladder Cancer.
.- IGHV Mutational Status and DNA Entropy: Refining Prognostic Tools in Chronic Lymphocytic Leukemia.
.- Machine learning in Bioinformatics and Biomedicine .
.- Machine Learning Models for Assessing Depression in Syrian Adolescent Refugees in Jordan.
.- Predicting T cell receptor specificity with graph attention networks.
.- CyberKnife and Data Mining: Exploring opportunities for clinical advancements.
.- Sickle cell disease patient care system using artificial intelligence.
.- Automated Annotation of Electronic Health Records Using Large Language Models.
.- A supervised learning strategy to investigate age effect on brain activity and support biomarkers detection for neurological disorders.
.- Recent Advances in Bioinformatics .
.- NucleoConvert Analytics: An Integrated Platform for DNA-to-RNA Conversion and Sequence Analysis.
.- Computational Analysis and Prediction of CYP1A2-Related Toxicants for Safer Drug Discovery.
.- Gene Co-Expression Network analysis based on GPUs for biomarkers discovery in sarcomas.
.- An Algorithm For Local Pairwise Alignment Of DNA Sequences.
.- Metabolomic Predictions via SOM: A Cold-Stress Case Study in Arabidopsis thaliana.
