Rojas / Ortuño / Herrera | Bioinformatics and Biomedical Engineering | Buch | 978-3-032-41661-2 | www.sack.de

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

Rojas / Ortuño / Herrera

Bioinformatics and Biomedical Engineering

13th International Conference, IWBBIO 2026, Canaria, Spain, July 15–17, 2026, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-41661-2
Verlag: Springer

13th International Conference, IWBBIO 2026, Canaria, Spain, July 15–17, 2026, Proceedings, Part II

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-032-41661-2
Verlag: Springer


This volume constitutes the proceedings of the 13th International Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2026, held in Canaria, Spain, during .

The 73 full papers presented in these volumes were carefully reviewed and selected from 132 submissions. They were organized into the following topical sections:

Part I: AI, Sequencing and Computational Methods for Biomedical and
Clinical Applications; Artificial Intelligence and Digital Innovative Technologies in Medical
Research; Biomedicine and Biomedical Engineering; Computational Intelligence in Biomedicine and Bioinformatics.


Part II: Computational systems for modelling biological processes; Efficient and Scalable Computing in Bioinformatics; Large AI Models in Biomedicine: Foundations and Applications; Machine Learning Applications in Biomedicine: Prediction and Classification; Precision Medicine and Sustainable Healthcare; Robust and Interpretable Machine Learning for Bioinformatics; The Future of Innovation: Uniting Image Processing, Computer Vision, AI/ML, and Generative AI in Various Domains; Translational and integrative Bioinformatics; Translational Medicine and Clinical Applications.

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Weitere Infos & Material


.- Computational systems for modelling biological processes.

.- Thoracic Aorta Flow Characterization: Comparison of Numerical
Simulations and In Vitro Experiments.

.- Alignment-free compositional profiling identifies candidate horizontally
acquired genomic regions in Myxococcus xanthus.

.- Efficient and Scalable Computing in Bioinformatics.

.- An Enhanced Algorithm for Pairwise Local DNA Sequence Alignment
Based on the Dynamic Programming.

.- Atom Viewer: An Interactive Framework for EEG Analysis.

.- A Bioinformatics Information System for Sequence Alignment of DNA
and Protein Sequences.

.- Energy Efficiency in Parallel Phylogenetics: A Comparison between
OpenMP and SYCL.

.- STRcreator: A High-Fidelity Framework for Simulating Short Tandem
Repeat Evolution and Sequencing Noise via Mechanistic Modeling.

.- Data-Amenable Modelling of Alzheimer’s Disease Progression via
Chemotaxis-Driven Reaction-Diffusion Systems.

.- Large AI Models in Biomedicine: Foundations and Applications.

.- Literature-Guided Multi-Omics Imputation with BioGPT-Derived
Biological Priors.

.- NeuroRAG-XAI: A Cloud-Deployed Agentic XAI Framework for
Knowledge-Grounded Personalized Parkinson’s Disease Progression
Forecasting.

.- Machine Learning Applications in Biomedicine: Prediction and
Classification.

.- Predicting Lyme Borreliosis Dynamics Using Generalized Additive
Models and Machine Learning.

.- CMF-Net: A Cross-Modal Contrastive Fusion Network for Robust
PAM50 Breast Cancer Subtype Classification from Transcriptomics,
Proteomics, and Tumor Microenvironment.

.- Machine Learning–Based Fixed-Horizon Survival Classification in Lung
Cancer: Comparative Model Evaluation in TCGA LUAD and LUSC.

.- Multi-Channel EEG Classification using Alpha-Beta PSD Features
during Performance of Mental Arithmetic Task.

.- Precision Medicine and Sustainable Healthcare.

.- ERBB2 mRNA Identifies a Molecularly Distinct Luminal Subtype
Within HER2-Negative Breast Cancer.

.- Integrating Mechanomic and Proteomic Data for Improved Patient
Characterization in Pediatric Acute Lymphoblastic Leukemia.

.- Vertical jump test performance correlates with trabecular bone score in
a group of older sarcopenic men.

.- Boosting Deep Learning for Robust Breast Cancer Subtype
Classification Using Omics Data.

.- A Variant-pooling Pipeline for Standardized Generation of
Database-Ready Genomic Tables.

.- Robust and Interpretable Machine Learning for Bioinformatics.

.- Biologically-Constrained CpG Panel for Breast Field Cancerisation
Classification.

.- Entropy Based Characterization of Fish Behaviour from Acoustic
Telemetry Time Series.

.- ScoreTNT: Enhancing TextNetTopics with Classifier-Diverse and
Ensemble Topic Scoring for Text Classification.

.- Microbiome Community Signatures Enable Classification of H. pylori
Infection Beyond Direct Pathogen Identification: A Machine Learning
and Counterfactual Perturbation Study.

.- cNMF-lite: Robust and interpretable transcriptional programs from
multi-cohort PDAC single-cell RNA-seq data without batch correction.

.- Learning to Control Cell Cycle Regulation by Balancing Gene Networks.

.- The Future of Innovation: Uniting Image Processing, Computer
Vision, AI/ML, and Generative AI in Various Domains.

.- Uncertainty-Guided Selective Prediction for Mammographic Mass
Classification: Beyond Saliency-Based Explainability.

.- The use of LLMs in the extraction and structuring of information from
Electronic Health Records: A Systematic Review.

.- Klar.IA: a platform of Machine Learning models for nuclear medicine.

.- Translational and integrative Bioinformatics.

.- Weighted pathway enrichment strategies for interpretable network-based
biomarker discovery in immunotherapy response prediction.

.- Comparative Evaluation of Dimensionality Reduction Strategies for
Clustering-Based Patient Stratification in Breast Cancer Transcriptomics.

.- A Statistical q-Value–Based Grouping–Scoring–Modeling Framework
for Colorectal Cancer Prediction Using Metagenomic Data.

.- Translational Medicine and Clinical Applications.

.- Antibiotic-induced culture alters the resistome and mobilome composition.

.- A multi-tool framework for detection of unique genes in genomic datasets.

.- Mapping the Landscape of Mental Health Apps: Typologies and Core
Functional Feature.

.- Structural Classification and Clustering of Calcium-Binding Sites in
Proteins Using Minimal Functional Sites.

.- Digitalization and Automation of Anesthesia Records: A Systematic
Mapping Study.



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