A graph neural network model for inferring interindividual variation from experimental biological data. [PDF]
Kawano F.
europepmc +1 more source
Embedded CRISPRi Enhances Gene‐Silencing Efficiency in Drosophila
Current CRISPR interference (CRISPRi) technology in Drosophila has limited efficiency. This study introduces the emCRISPRi platform, which significantly enhances transcriptional silencing efficacy by embedding inhibitory domains within the dCas9 architecture.
Pengchong Fu +7 more
wiley +1 more source
Multi-scale dynamic graph neural network for PM2.5 concentration prediction in regional station cluster. [PDF]
Lu X +5 more
europepmc +1 more source
This work introduces an open‐source all‐optical platform for functional phenotyping of human stem cell‐derived neurons. The system integrates optogenetics, calcium imaging, automated acquisition, and analysis to resolve single‐cell and network activity, enabling longitudinal measurements, disease modeling, and pharmacological screening in preclinical ...
Wardiya Afshar‐Saber +12 more
wiley +1 more source
DVFGCDR: a dual-view fusion graph neural network for cancer drug response prediction. [PDF]
Huang W +5 more
europepmc +1 more source
A Tac1‐Expressing Brainstem Pathway Underlies the Pathogenesis of Trigeminal Neuralgia
A critical TG‐Sp5CTac1‐PBNTac1 pathway drives trigeminal neuropathic pain (TNP). Tac1‐expressing parabrachial nucleus (PBNTac1) neurons exhibit heightened responses to innocuous stimuli in TNP, and chemogenetic inhibition of these neurons effectively prevents TNP development.
Liting Sun +11 more
wiley +1 more source
A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules. [PDF]
Adams C +6 more
europepmc +1 more source
Unveil Fundamental Graph Properties for Neural Architecture Search
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
Attention-Aware Graph Neural Network Modeling for AIS Reception Area Prediction. [PDF]
Renaud A, Iphar C, Napoli A.
europepmc +1 more source
Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan +24 more
wiley +1 more source

