Advances in colloid and interface science
Feb 7, 2026
Because of its unique characteristics and numerous prospective uses, metal-doped carbon dots (M@CDs) are gaining more interest. Through orbital interactions between metal and carbon atoms, metal integration alters the electrical structure, nanostruct... read more
Microbial communities in river ecosystems regulate biogeochemical cycling and serve as natural bioremediators for environmental pollutants. However, accurately predicting their dynamic responses to changing conditions remains a significant scientific... read more
Water-quality management requires high-frequency monitoring data, which remains challenging, especially in watersheds exhibit pronounced spatial heterogeneity and sparse monitoring stations. To address this gap, this study proposes a Process-Model-In... read more
OBJECTIVES: To investigate the association between the extracellular volume fraction (ECV) quantified by spectral CT and multiparameter pathological features (Ki-67, mismatch repair status, WHO Grade, Perineural/Lymphovascular Invasion, pT/pN Stage) ... read more
Public health in practice (Oxford, England)
Feb 7, 2026
OBJECTIVES: To apply unsupervised machine learning (ML) to predict outbreaks of respiratory tract infections (RTIs) in acute Irish hospitals (2016-2021). STUDY DESIGN: A retrospective study. METHODS: RTIs data was extracted from Irish hospital inpati... read more
Video datasets are crucial for advancing communication technologies for deaf and hard-of-hearing individuals. Despite that, extensive datasets are not available for the majority of sign languages due to the ample work required to capture, clean, orga... read more
International journal of medical informatics
Feb 7, 2026
OBJECTIVE: To evaluate whether a tool-using agent-based system built on large language models (LLMs) outperforms standalone LLMs on medical question-answering tasks. METHODS: We developed a unified, open-source LLM-based agentic system that integrate... read more
High-quality imaging in photoacoustic computed tomography (PACT) requires a high-channel count system for dense spatial sampling to avoid aliasing-related artifacts. To reduce system complexity, various image reconstruction approaches, such as model-... read more
PURPOSE: To identify factors associated with accelerated retinal aging based on machine learning predictions of age using fundus images from teleretinal screening of patients with diabetes. DESIGN: Cross-sectional study of retinal images. SUBJECTS: T... read more
Formalin-fixed paraffin-embedded (FFPE) tissues represent a vast archival resource for genomic studies, yet their utility remains constrained by fixation-induced DNA damage and subsequent sequencing artifacts. To comprehensively characterize and addr... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.