Rojas / Ortuño / Herrera - Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering

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

Medium: Buch

ISBN: 978-3-032-41658-2

Verlag: Springer

Erscheinungstermin: 26.12.2026

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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: 9783032416582
Medium: Buch
ISBN: 978-3-032-41658-2
Verlag: Springer
Erscheinungstermin: 26.12.2026
Sprache(n): Englisch
Auflage: Erscheinungsjahr 2026
Serie: Lecture Notes in Bioinformatics
Produktform: Kartoniert
Format (B x H): 155 x 235 mm
Ausgabetyp: Kein, Unbekannt

Themen

Herausgeber

.- AI, Sequencing and Computational Methods for Biomedical and
Clinical Applications.

.- Application of lean information technologies in the process of
conducting preventive medical examinations of children.

.- Deep learning based de Bruijn graph multiplicity estimation improves
short read genome assembly.

.- Deploying AI Agents in Healthcare: A Taxonomy and Review of
Architectures, Clinical Tasks, Evaluation, Safety, and Governance.

.- Artificial Intelligence and Digital Innovative Technologies in Medical
Research.

.- Multi-View Tokenization for Hierarchical Modeling of Heart Rate
Variability.

.- AIVINA: A Large Language Model-Based Virtual Patient Platform
for Clinical Interview Training and Functional Assessment in Nursing
Education.

.- Exploring the Limits of Artificial Intelligence for Multi-label Diagnostic
Support: From Shortcut Learning to Subtle Findings Detection.

.- Quantification of Pru p 3 Protein in Food Matrices using NIRS: From
Overfitting in Machine Learning to Robust Modeling with PLS Regression.

.- BI-RADS classification of Mammographic images from the DMID
dataset using Radiomics and Machine learning.

.- On the Limitations of Hand-Engineered PPG Features for Hypertension
Classification: Evidence from the VitalDB Subset of PulseDB.

.- Dicentric chromosome detection from metaphase images using
multi-channel fusion of preprocessed views.

.- Hierarchical Bandits for Protein Engineering with SpeedPPI.

.- Optimal Feature Selection to Maximize AI-Driven Prediction: Case
Study of Stroke.

.- Interpretable Digital Pathology Models Predict Remission in Ulcerative
Colitis.

.- Feasibility of In-Browser Evidence-Based Leukemia Registry Form
Filling Using Sentence Transformers.

.- Biomedicine and Biomedical Engineering.

.- Modular 3D-Printed grip attachments for gyroscopic re-habilitation
devices: Enhancing accessibility for people with multiple sclerosis.

.- Comparative Analysis of explainable Machine Learning Models for
Lipid Transfer Protein Quantification Using NIR Spectroscopy under
Varying Dataset Conditions.

.- A Predictive Model of Maturity Offset Based on Clinical and
Laboratory Parameters in Boy Soccer Players.

.- Coverage-Stratified Evaluation of DNA Foundation Model
Representations for cCRE Classification.

.- Isolation of muscle activation zones in HD-sEMG signals using
DIP-Test-driven top-down clustering approach.

.- Optimized DenseNet-based Classification of Capillary Tortuosity in
Nailfold Capillaroscopy Images.

.- Domain-Aware Image Preprocessing for Multi-Database Mammography.

.- Short-Term High-Velocity Eccentric Training Enhances Strength and
Explosive Performance in Professional Soccer Players.

.- Association between bench press strength and bone mineral density in
middle-aged men.

.- A General-Purpose MCDA-Based Dataset Evaluation Score (DES)
for Selecting Public Multimodal Aging Datasets for Early Behavioral
Disengagement Prediction.

.- Bone health parameters in alpine skiiers: a systematic review.

.- G4DARI: A Graphical Interface for Monte Carlo Radiation Dose
Calculation Using GATE/GEANT4.

.- Does ¹F-NaF PET aorta plaque microcalcification correlate with CT
plaque calcification in atherosclerosis?.

.- Acceptable Inaccuracy of Heart Rate Variability for Continuous Atrial
Fibrillation Monitoring.

.- From Generic Pathways to Specific Cells: Inferring Im-munological
Cell-Type Signatures from Single-Sample Enrichment Profiles.

.- A Multi-Omics Consensus Network Framework Identifies Dysbiotic
Functional Communities.

.- Electromyography-Based System for Non-Supervised Exercise
Evaluation in Breast Cancer Patients.

.- Interpretable Deep Learning for Driver Mutation Prediction Using
Functional and Mutational Signature Features Across Multiple Cancer
Types.

.- Abstention Aware Evaluation for Reliable Calcification Focused
Mammography Classification.

.- Computational Intelligence in Biomedicine and Bioinformatics.

.- Structure-Aware Retrieval-Augmented Generation for Clinical Practice
Guidelines.

.- Medical Planning: Predictive Modeling of Hospital Bed Capacity Based
on Architectural and Functional Planning Parameters.

.- eTripHLApan: Improving HLA-I Peptide Binding Prediction through
Transfer Learning and BLOSUM62 Encoding.

.- ContexTCR: A Cross-Attention Framework for TCR–pMHC Binding
Prediction with CDR3, V/J Gene Context.

Bioinformatics and Biomedical Engineering

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