Innovating Bioengineering Through Next-Generation Computational Approaches

Proceedings of the XVII Mediterranean Conference on Medical and Biological Engineering, MEDICON 2026, September 14–17, 2026, Siena, Italy - Volume 1: Artificial Intelligence, Data-Driven, and Physics-Driven Precision Medicine
Erscheinungsjahr 2026
ISBN: 978-3-032-37738-8
Verlag: Springer

Buch, Englisch, 840 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: IFMBE Proceedings

This book presents cutting-edge research and developments in the broad field of medical, biological engineering and computing. First volume of the proceedings of the XVII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2026), held on September 14-17, 2026, in Siena, Italy, it reports on computational and data-driven methods supporting precision medicine and clinical decision. Contributions cover physics-based modeling, AI applications in medical imaging and healthcare, and advances in biosignal processing and wearable sensing. All in all, this book offers extensive and timely information to biomedical engineers, medical physicists, and healthcare professionals. 

Zielgruppe

Research

Autoren/Hrsg.

Iadanza, Ernesto

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Physik Angewandte Physik Biophysik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

The Compromise Between Interpretability and Performance, Or, a Review of Machine Learning Methods for Collective Variable Discovery.- Predictive value of EEG features for machine learning–based prediction of functional outcome after thrombectomy in LVO stroke.- A Mortality Prediction Study on ICU Patients with Pneumonia.- Digital Twins for Regulatory Testing of CO2 Rebreathing in Continuous Positive Airway Pressure Masks.- Classification-Guided Multi-Organ Segmentation in Abdominal Ultrasound via Feature Injection.- Edge Computer Vision for Arboviruses Vectors and Global Health Surveillance.- A View-Controllable CT-Based Pipeline for Generating Synthetic Echocardiographic Images with Aligned Anatomical Labels.- A digital twin-based evaluation of corrective insulin bolus algorithms in type 1 diabetes.- Antimicrobial Activity of Three Rationally Selected L-Series Synthetic Peptides Against Clinically Relevant Bacterial Strains.- AI-Assisted Triage in Screening Mammography: Multi-Center Validation of a Transformer-Based System for Workload Reduction at High Sensitivity.- PPARGC1A, FTO, and MC4R: integrating metabolic genetics with sport performance, training adaptation, and metabolic risk.- Advancing Cardiovascular Pharmacogenomics in Europe: Structure and Strategic Vision of the CardioPharmaGENET COST Action Network.- A multiscale cardiovascular digital twin for personalized hemodynamics across a virtual population.- On the Evaluation of Biomedical Text Simplification Datasets: A Benchmarking Study.- Graph-Immune-Optimization (GIO): An Integrated AI-Driven Framework for Simulation-Guided Design of CAR-T/NK Cell Therapy and CRISPR Gene Therapy in Cancer Immunotherapy.- Gender-Aware Digital Twins for Cognitive Decline.- Mitigating Label Noise and Concept Shift in LIDC-IDRI for Domain Generalisation in Lung Nodule Malignancy Classification.- A Multi-Backbone Pipeline Combining Biomedical Foundation Models and CNNs for Explainable Triage of Cutaneous Ulcers.- A Generative XAI Driven Mobile App for Improved Skin Cancer Diagnostics.- Deep Learning-Based Binary Classification of Knee Cartilage Damage Using Anteroposterior Knee Radiographs.- Applications of Heart Rate Variability Analysis from Mechanocardiographic Signals: A Narrative Review.- MediScene: A Semantic Risk Detection System for Safer Drug Prescription Using Structured and Unstructured Medical Data.- PPG-Based Cuffless Blood Pressure Estimation Using an Artificial Neural Network on the MIMIC.- Multi-Label Medical Concept Recognition using Asymmetric Loss-Driven EfficientNet: Analyzing the Detection of Rare Concepts Under Long-Tailed Imbalance.- Eye-tracking-based personalized text-presentation support for children with reading difficulties.- Multimodal Phenotyping of Sleep Apnea: Integrating SpO2 and HRV through Subject-Based Correlation Networks.- From Neuroanatomical Atlas to Finite Element Mesh: A Modular Pipeline for Rat Brain Implant Digital Twins.- Neural Pathway Similarity Analysis for Efficient Glycemic Event Prediction.- Alignment in Gamified Cognitive Assessment.- Intelligent Quality Assessment of Magnetocardiography Time-Series Signals Based on Deep Learning.- Prototyping Agentic Post-Market Surveillance via ISO 13485 Digital Twins.- Multiscale Statistical Process Control of RR Interval Dynamics for Explainable Pre-Onset Characterization of Paroxysmal Atrial Fibrillation.- Deep Learning-based Model of Embryo Formation from Multi-Plane Time-Lapse Oocyte Images.- Physics-Informed Neural Networks for the Identification of Digital Twins in Type 1 Diabetes: A Proof-of-Concept Study.- Optimizing EEG preprocessing for Deep Learning-based Interictal Epileptiform Discharge detection.- AIM-LRS: Integrated system workflow for Artificial Intelligence-assisted Microscopy-Based Screening of high-impact diseases in Low-Resource Settings.- A Trasfer Learning approach for Localization of Molars and Dental Apices in Pediatric Panoramic Radiographs.- A Phantom Dataset for Frame-Wise Registration Annotation in RAPN.- ACE and ACTN3 Polymorphisms in Bosnian and Herzegovinian Athletes Potential Implications for Personalised Sports Performance Profiling.- Knee Osteoarthritis as a Multi-Tissue Disease: Multivariate Analysis of Cartilage, Bone, and Muscle on CT imaging.- Enhancing Hypoglycemia Prediction in Type 1 Diabetes via mWGAN-GP-based Augmentation of Pre-Exercise CGM Data.- ECG-Based Non-Invasive Glycaemic Estimation in Type 1 Diabetes.- Genetic and Inflammatory Markers in Sports Injury Risk: A Precision Medicine Review of COL1A1, COL5A1, IL-6, and TNF-alpha.- Performance of Different Wearable Sensor Configurations in Sleep/Wake Classification with and without Apnoea Events.- Quantitative Assessment of Skin Tone Bias in Photoplethysmographic Signal Processing and Feature Analysis.- Predicting Response to Neoadjuvant Chemotherapy in Ovarian Cancer from CT Baseline Using Multi-Loss Deep Learning.- Development of a Dynamic RPI to prioritize medical equipment replacement.- A Gemini Flash Thinking Protocol for Interpretable Feature Assessment in Synthetic Alzheimer’s Disease Data.- Probabilistic SVM for Knee Osteoarthritis Classification.- Radiomics-based identification of subjects with cardiovascular diseases from retinal images.- Short-Lead Routine Discordance Detection in PIR-Based Smart Homes Using Transformer Occupancy Prediction.- Toward Personalized Surgeons' Cognitive Workload: A Linear Mixed-Effects Model Analysis of EEG Features.- Deep Learning-Based Coronary Artery Segmentation for the Comparison of CCTA Reconstruction Methods.- Benchmarking Automatic Question Generation from Clinical Practice Guidelines for Education: a Case Study for Low Back Pain Management.- Electrophysiological response to atosiban therapy across gestational stages and preterm vs term outcomes: a GAMM-based analysis of EHG temporal dynamics.- From Cellular Heterogeneity to Tissue Architecture: Single Cell and Spatial Bioinformatics for Precision Medicine.- Development of a RAG-Powered Chatbot for Assistive Technologies Benchmarking.- Towards Agentic Refactoring for Autonomous Maintenance in Smart Infusion Pumps.- Lightweight Multimodal Deep Learning for Continuous Respiratory Rate Estimation from ECG and PPG.- Temporal Dynamics of Physiological Responses to Phasic Pain in Healthy Controls and Their Impact on Machine Learning-Based Pain Quantification.- Toward a Patient-Specific Model of Protein-Bound Uremic Toxin Kinetics during Online Hemodiafiltration.- Multisource Intelligence for Early Sepsis Prediction: An Ensemble Modeling Approach.- AnnoStar: An Open-Source Web-Based Tool for Expert Annotation of Autofluorescence Patterns in Stargardt Disease.