UNLABELLED: Colorectal cancer is a highly lethal gastrointestinal tract malignancy whose pathogenesis and molecular drivers are not fully understood. This study focused on searching for genes that are differentially expressed in cancer versus normal ... read more
PURPOSE: Develop a deep learning algorithm for automated segmentation of retinal vascular and macular edema (ME) leakage in fluorescein angiography (FA) of pediatric uveitis. DESIGN: Model trained on internal FA images with external validation. PARTI... read more
Advances in colloid and interface science
Feb 6, 2026
Micro and nanoplastics (MNPs) are an omnipresent and analytically challenging contaminant class that has been emerged in aquatic, terrestrial, atmospheric, and alimentary matrices. The diminutive dimensions and wide prevalence of MNPs in complex mixt... read more
Neural networks : the official journal of the International Neural Network Society
Feb 6, 2026
Kinship verification aims to determine whether two individuals share a familial relationship based on facial information. Cross-gender relationships (i.e., Father-Daughter and Mother-Son) continue to face formidable challenges due to the diversity an... read more
European journal of medicinal chemistry
Feb 6, 2026
Hyperuricemia is a well-established direct trigger of gouty arthritis. Xanthine oxidase (XO), the rate-limiting enzyme in uric acid production, represents a core therapeutic target for gout. Although XO inhibitors like allopurinol and febuxostat are ... read more
Masked Autoencoders (MAEs) have grown increasingly prominent as a powerful self-supervised learning paradigm. They are capable of effectively leveraging inherent image prior information and are gaining traction in the field of medical image analysis.... read more
BACKGROUND: Despite the growing body of studies focusing on the development of artificial intelligence literacy in higher education, the status of AI literacy among nursing students remains understudied. OBJECTIVE: This study aims to conduct a scopin... read more
BACKGROUND AND OBJECTIVE: Our aim was to evaluate whether combining the maximum restriction score derived from restriction spectrum imaging (RSIrsmax) with deep learning (DL) models can enhance patient-level detection of clinically significant prosta... read more
PURPOSE: Accurately measuring geographic atrophy (GA) progression in clinical trials is challenging, owing to its slow and variable nature. This study develops deep learning algorithms that can measure GA growth rates with improved accuracy and robus... read more
The integration of ProSocial Artificial Intelligence (AI) represents a paradigm shift in prosthodontics, harmonizing cutting-edge technology with ethical principles to enhance outcomes and equity. By leveraging AI's capabilities in diagnostics, treat... read more
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