National Defense Medical Center

Automated alveolar bone and teeth 3D segmentation on the cone-beam computed tomographic images using the convolutional neural network

Abstract Background Cone-beam computed tomography (CBCT) is widely used in dental diagnosis and implant planning. The accurate segmentation of teeth and alveolar bone from CBCT images is essential for precise diagnosis and treatment planning. In this study, we propose two distinc...

Unraveling the immune landscape and molecular signatures of antibody-dependent cellular cytotoxicity in SARS-CoV-2 clearance

Beyond direct neutralization, antibodies clear SARS-CoV-2 by triggering antibody-dependent cellular cytotoxicity (ADCC), which guides natural killer (NK) cells to eliminate infected cells. To understand ADCC’s role in COVID-19, we analyze samples from primary patients and find th...

Identification of features associated with dysmenorrhea in women aged 20–50 years using logistic regression and synthetic minority oversampling technique

Dysmenorrhea (Dys) is a prevalent gynecological condition that significantly impairs women’s quality of life. This study investigates the key predictive features associated with Dys in Taiwanese women aged 20–50, using logistic regression (LR) with and without the Synthetic Minor...

Diabetes mellitus and risk of injury requiring medical care: a nationwide population-based matched cohort study in Taiwan

Abstract Background Diabetes mellitus (DM) is associated with multiple microvascular and macrovascular complications; however, its association with clinically significant injury requiring medical care remains incompletely understood. This study aimed to investigate the associatio...

Sulfated PSGL-1 primes the enterovirus A71 fivefold vertex for localized remodeling

Enterovirus A71 (EV-A71) causes hand, foot, and mouth disease and poses a significant public health threat through severe neurological complications in pediatric cases. P-selectin glycoprotein ligand-1 (PSGL-1) functions as an attachment factor, yet the structural basis of PSGL-1...

Predicting Insulin Resistance in Taiwanese Men Using Machine Learning: An Integrated Analysis of Biochemical Markers and Volatile Organic Compounds

Background: Type 2 diabetes (T2D) and insulin resistance (IR) are major global health challenges. Volatile organic compounds (VOCs) in exhaled breath offer a non-invasive window into metabolic dysregulation. This study aimed to predict HOMA-IR using machine learning (ML) by integ...