Background: The association between carotid plaque and cognitive decline has recently been
reported. However, the current research evidence is insufficient, and the possible causes …

Background Colorectal cancer (CRC) is now the leading cause of cancer-related deaths
among young Americans. Our study aims to predict early-onset CRC (EOCRC) using machine …

Alzheimer’s disease (AD) is a highly hereditary disease with complex genetic susceptibility
factors. Extensive genome-wide association studies have established a distinct susceptibility …

To quantify the fluxes and examine the controls on greenhouse gas emissions from the
permafrost marshes where the fate of the large quantity of soil organic carbon remains poorly …

Training deep Convolutional Neural Networks (CNNs) presents unique challenges, including
the pervasive issue of elimination singularities, consistent deactivation of nodes leading to …

Accurate segmentation of multiple organs and the differentiation of pathological tissues in
medical imaging are crucial but challenging, especially for nuanced classifications and …

Magnetic Resonance Imaging (MRI) is a crucial diagnostic tool in medicine, widely used to
detect and assess various health conditions. Different MRI sequences, such as T1-weighted, …

Generative models can enhance discriminative classifiers by constructing complex feature
spaces, thereby improving performance on intricate datasets. Conventional methods typically …

The assembly of oligopeptide and polypeptide molecules can reconstruct various ordered
advanced structures through intermolecular interactions to achieve protein-like biofunction. …

Objective: This research aims to refresh the limited understanding about the canal and
vascular structures within the epiphysis and metaphysis of the tibia and femur and their …