OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
MRI-based extensor carpi ulnaris tendon cross-sectional area as a quantitative biomarker for extensor carpi ulnaris tenosynovitis. [PDF]
Lee JM +7 more
europepmc +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Tumor-to-thoracic height and width ratios as adjunct imaging markers for preoperative risk stratification in minimally invasive surgery for pediatric mediastinal masses. [PDF]
Makita S +19 more
europepmc +1 more source
Receiver Operating Characteristic (ROC) Curve Analysis of Affinity Profiles
Benjamin C. Caswell
openalex +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Macular Ganglion Cell-Inner Plexiform Layer (GCIPL) Thickness and Thinning Patterns for Differentiating Glaucomatous and Non-Glaucomatous Optic Neuropathy: A Prospective Comparative Study. [PDF]
Gacivut P +3 more
europepmc +1 more source
Predictive value of the prognostic nutritional index and aggregate index of systemic inflammation for pulmonary complications in children with influenza. [PDF]
Wu Y, Zhang J, Ke X, Pan J, Hu Y.
europepmc +1 more source

