Rojas / Ortuño / Herrera - Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering

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

Medium: Buch

ISBN: 978-3-032-41661-2

Verlag: Springer

Erscheinungstermin: 26.12.2026

53,49 € 49,99 € (zzgl. MwSt.)

vorbestellbar, Erscheinungstermin ca. Dezember 2026

This volume constitutes the proceedings of the 13th International Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2026, held in Canaria, Spain, during July 15–17, 2026.

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.

Produkteigenschaften

Artikelnummer: 9783032416612
Medium: Buch
ISBN: 978-3-032-41661-2
Verlag: Springer
Erscheinungstermin: 26.12.2026
Sprache(n): Englisch
Auflage: Erscheinungsjahr 2026
Serie: Lecture Notes in Computer Science
Produktform: Kartoniert
Format (B x H): 155 x 235 mm
Ausgabetyp: Kein, Unbekannt

Themen

Herausgeber

.- 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.

Bioinformatics and Biomedical Engineering

Beschreibung

Autoren/Hrsg.

Inhalt

Produkteigenschaften

Themen

Verlagspartner

Produktsortiment

Fachzeitschriften

Veranstaltungen

Site Breadcrumb

Bioinformatics and Biomedical Engineering

Beschreibung

Autoren/Hrsg.

Inhalt

Produkteigenschaften

Themen