Results 231 to 240 of about 229,000 (311)
FedHGPrompt: Privacy-Preserving Federated Prompt Learning for Few-Shot Heterogeneous Graph Learning. [PDF]
Wu X, Shi J, Zhang X.
europepmc +1 more source
The mechanism diagram of VDAC1 mediating neuronal excitability and neuropathic pain. Briefly, VDAC1 is expressed in DRG neurons and is upregulated following CCI‐induced neuropathic pain. This upregulation enhances ATP transport from mitochondria to the cytoplasm in sensory neurons, leading to increased neuronal excitability and pain behavior.
Fengrun Sun +7 more
wiley +1 more source
Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems. [PDF]
Rajalakshmi M, Velmurugan T.
europepmc +1 more source
Human‐Centered Innovation: Precision Nutrition and the Future of Food
ABSTRACT Nutritional science is moving beyond one‐size‐fits‐all recommendations toward more precise and personalized approaches, yet its implementation pathway remains unclear. This paper proposes a human‐centered precision nutrition framework that highlights the central roles of artificial intelligence (AI), food innovation, and human agency.
Shanshan Zhang +3 more
wiley +1 more source
Semantic-enhanced heterogeneous graph learning for identifying ncRNAs associated with drug resistance. [PDF]
Wei H +5 more
europepmc +1 more source
Sepsis‐associated encephalopathy (SAE) lacks effective therapies. We developed ME@FDsi, a biomimetic nanodrug using a tetrahedral framework nucleic acid to deliver disulfiram and siTNFα. It crosses the blood‐brain barrier, targets M1 microglia, inhibits pyroptosis and inflammation, and scavenges ROS.
Huimin Shi +15 more
wiley +1 more source
graphB3-an interpretable graph learning approach for predicting blood-brain barrier permeability. [PDF]
Kumar S +4 more
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
DDI-AttendNet: cross attention with structured graph learning for inter-drug connectivity analysis. [PDF]
Wang J, Du H, Li Y.
europepmc +1 more source

