Innovating Bioengineering Through Next-Generation Computational Approaches

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.

• Erscheinungsdatum: 27.10.2026
• Autor/Autorin: Ernesto Iadanza
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 48.6 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 868 Seiten
• ISBN: 9783032377395
• Lieferung: Download ab 27.10.2026
• Hinweis: Vorbestellung. Verfügbar per Download ab Erscheinungstag. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.