Conventional COVID-19 testing methods have some flaws: they are expensive and time-
consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some …

Motivation Peptides are promising agents for the treatment of a variety of diseases due to
their specificity and efficacy. However, the development of peptide-based drugs is often …

RNA modifications are known to play a critical role in gene regulation and cellular
processes. Specifically, N4-acetylcytidine (ac4C) modification has emerged as a significant …

Artificial intelligence-based segmentation models can assist the early-stage detection of
lung COVID-19 infections or lesions from medical images with higher efficiency versus …

Medical image segmentation is crucial for precise diagnosis, treatment planning, and
disease monitoring in healthcare. Traditional methods often struggle with the complexity and …

Anti-coronavirus peptides (ACVPs) have garnered significant attention in COVID-19
therapeutic research due to their precise targeting, low risk of drug resistance, flexible …

Rectal cancer is one of the most common malignant tumors of the digestive tract. Recently,
deep learning has attracted significant attention in computer-aided cancerous region …

Nanopore sequencing, renowned for its ability to sequence DNA and RNA directly with read
lengths extending to several hundred kilobases or even megabases, holds significant …

Drug-drug interaction (DDI) prediction is crucial for identifying interactions within drug
combinations, especially adverse effects due to physicochemical incompatibility. While …

Multimodal medical image segmentation is challenging due to feature heterogeneity across
modalities and the presence of modality-specific noise and artifacts. These factors hinder the …