Recerca: articles, congressos, llibres: Enviaments recents
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Is a single lethal electric field threshold sufficient to characterize the lesion size in computational modeling of cardiac pulsed-field ablation?
Background: Pulsed-field ablation (PFA) is a novel cardiac ablation technology based on irreversible electroporation (IRE). PFA computational models rely on identification of a lethal electric field threshold to predict ...
Toward specialized wireless networks using an ML-driven radio interface
Future wireless networks will need to support diverse applications (such as extended reality), scenarios (such as fully automated industries), and technological advances (such as terahertz communications). Current wireless ...
Brain [18F]FDG uptake patterns in type 2 diabetes: new phenotypes relating to biomarkers of cognitive impairment
Previous studies in patients without Type 2 diabetes suggest that brain hypo- and hypermetabolic regions may indicate risk for cognitive disorders. We aimed to study these brain glucose uptake patterns in Type 2 diabetes ...
Phenotypic patterns of metabolic dysfunction-associated steatotic liver disease in type 2 diabetes: the impact of insulin
Background. Metabolic dysfunction-associated steatotic liver disease (MASLD) often leads to hepatic insulin resistance (IR), yet its link to liver-specific insulin-mediated glucose uptake (IGLU) in type 2 diabetes (T2D) ...
Meta-UNet: enhancing skin-lesion segmentation with multimodal feature integration and uncertainty estimation
Purpose. Medical image segmentation plays a crucial role in diagnostic pipelines. This study investigates the integration of lesion-specific metadata with image data to enhance segmentation accuracy and reduce predictive ...
From genetics to psychosocial functioning: unraveling the mediating roles of cognitive reserve, cognition, and negative symptoms in first-episode psychosis
Background: Studies have shown associations between polygenic risk scores for educational attainment (PRSEA), cognitive reserve (CR), cognition, negative symptoms (NS), and psychosocial functioning in first-episode psychosis ...
Diabetic foot ulcers segmentation challenge report: benchmark and analysis
Monitoring the healing progress of diabetic foot ulcers is a challenging process. Accurate segmentation of foot ulcers can help podiatrists to quantitatively measure the size of wound regions to assist prediction of healing ...
Longitudinal assessment of abnormal cortical folding in fetuses and neonates with isolated non-severe ventriculomegaly
Purpose: The impact of ventriculomegaly (VM) on cortical development and brain functionality has been extensively explored in existing literature. VM has been associated with higher risks of attention-deficit and hyperactivity ...
Changes in local endocardial electrograms immediately after PFA show dose-dependent variations
Background/Introduction. Pulsed field ablation (PFA) is a novel nonthermal cardiac ablation technology based on irreversible electroporation. The behaviour of local electrograms after PFA has been poorly characterized and ...
Stabilizing the shield: C-Terminal tail mutation of HMPV F protein for enhanced vaccine design
Background: Human Metapneumovirus (HMPV) is a respiratory virus in the Pneumoviridae family. HMPV is an enveloped, negative-sense RNA virus encoding three surface proteins: SH, G, and F. The highly immunogenic fusion (F) ...
Unveiling learning trends in convolutional neural networks with dynamic mode decomposition
The widespread adoption of pre-trained models in artificial intelligence poses several evaluation challenges, primarily due to limited access to comprehensive information including training data, test data, loss function, ...
Uncertainty-aware segmentation quality prediction via deep learning Bayesian modeling: comprehensive evaluation and interpretation on skin cancer and liver segmentation
Image segmentation is a critical step in computational biomedical image analysis, typically evaluated using metrics like the Dice coefficient during training and validation. However, in clinical settings without manual ...
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of ...
Initial evaluation of a new cervical screening strategy combining human papillomavirus genotyping and automated visual evaluation: the Human Papillomavirus-Automated Visual Evaluation Consortium
The HPV-Automated Visual Evaluation Consortium is validating a cervical screening strategy enabling accurate cervical screening in resource-limited settings. A rapid, low-cost human papillomavirus (HPV) assay permits ...
MIRA: myocardial insulin resistance app for clinical practice
Background and Objective. Type 2 diabetes (T2D) is a prevalent disease characterized by insulin resistance (IR), leading to energy disruptions in myocardial cells and increasing cardiovascular (CV) risk. Current diagnostic ...
The multiomics blueprint of the individual with the most extreme lifespan
Extreme human lifespan, exemplified by supercentenarians, presents a paradox in understanding aging: despite advanced age, they maintain relatively good health. To investigate this duality, we have performed a high-throughput ...
Development and comparison of reference equations for the six-minute walk test in spanish healthy adults aged 45-85 years
Objectives: (i) To develop sex-specific reference equations to predict distance walked (6MWD) in the 6-minute walk test (6MWT), in healthy subjects aged 45-85 years, from different geographic areas of Spain; and (ii) to ...
Spatial Bayesian distributed lag non-linear models with R-INLA
M.Q.-Z. and J.B. gratefully acknowledge funding from the European Union's Horizon 2020 and Horizon Europe research and innovation programmes under grant agreement nos 865564 (European Research Council Consolidator ...
Global lessons from local contexts: the evolution of biomedicine education in Spain
Driven by the presence of faculty with research and clinical backgrounds, and by labor market trends favoring applied training, Biomedicine has emerged as a growing academic field in Spain. This study provides a descriptive ...
AIROGS: artificial intelligence for robust glaucoma screening challenge
The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) in a cost-effective manner, making glaucoma screening more ...
