INTRODUCTION: This study aimed to identify optical coherence tomography (OCT) biomarkers at baseline and after the loading phase (LP) of antivascular endothelial growth factor (VEGF), predictive of 12 months (12 m) morpho-functional outcomes in diabe... read more
BACKGROUND: Diabetic cardiomyopathy (DCM) occurs in the context of coronary artery disease or pressure overload heart disease, characterized by alterations in cardiac structure and function. The mechanisms linking metabolic memory and METTL1-mediated... read more
OBJECTIVES: To develop a deep learning-based multimodal framework for automated segmentation of orbital soft tissues and identify quantitative imaging biomarkers for precise grading of thyroid eye disease (TED). MATERIALS AND METHODS: This retrospect... read more
BACKGROUND: Accurate identification of implants in total knee arthroplasty (TKA) is essential for revision arthroplasty but is often complicated by incomplete documentation. While convolutional neural networks (CNNs) achieve high accuracy in implant ... read more
Prevention science : the official journal of the Society for Prevention Research
May 6, 2026
Intimate partner violence (IPV) survivors increasingly use social media platforms to share their experiences and to seek help and support for their IPV-related concerns. IPV evidence extracted from social media platforms can provide valuable informat... read more
OBJECTIVE: This study aimed to develop and validate a predictive model incorporating early VRR slope kinetics to predict long-term treatment outcomes. METHODS: This retrospective study included 78 patients with benign thyroid nodules treated with mic... read more
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