Geometric and arithmetic characterization of [Formula: see text]-module flatness with applications to tensor products. [PDF]
Tang JG, Lei HR, Liu M, Peng JY.
europepmc +1 more source
Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery +6 more
wiley +1 more source
Nonparametric estimation of conditional survival function with time-varying covariates using DeepONet. [PDF]
Hu B, Nan B.
europepmc +1 more source
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti +2 more
wiley +1 more source
Exploring Trial Endpoints in Geographic Atrophy Based on Localized Functional Changes in Microperimetry and AI-Quantified OCT Biomarkers. [PDF]
Birner K +10 more
europepmc +1 more source
Computational analysis to assess hemodynamic forces in descending thoracic aortic aneurysms
Abstract figure legend Left: Pre‐processing. First, we perform the segmentation of the Computer Tomography angiorgraphy (angio‐CT) scans of a healthy patient, obtaining the surface of a healthy thoracic aorta with a Type III aortic arch. Then, we build nine ideal configurations with Descending Thoracic Aortic Aneurysm (DTAA), varying the aortic arch ...
Francesca Duca +7 more
wiley +1 more source
A Bayesian Hierarchical Longitudinal Model for Estimation of Central Visual Field Rates of Change in Glaucoma. [PDF]
Mohammadzadeh V +8 more
europepmc +1 more source
Abstract Background Creativity is essential for engineering design, yet its assessment remains challenging due to the resource‐intensive nature of traditional evaluation methods. Purpose/Hypothesis(es) This study investigates the potential of automatic item generation (AIG) using large language models (LLMs) to create psychometrically sound items for ...
Simone A. Luchini +4 more
wiley +1 more source
TinyML pipeline for efficient crack classification in UAV-based structural health inspections. [PDF]
Zhang Y +6 more
europepmc +1 more source

