Results 171 to 180 of about 686,580 (270)
This study identifies DEC2 as a critical transcriptional repressor of Scn2a that directly binds E‐box motifs in its promoter to regulate neuronal plasticity and epileptogenesis. Functional manipulation of DEC2 alters seizure susceptibility in vivo. Cannabidiol enhances this repression, unveiling a novel DEC2‐SCN2A axis underlying its anticonvulsant ...
Huifang Song+24 more
wiley +1 more source
AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models. [PDF]
Dikmen F+6 more
europepmc +1 more source
Decision tree learning used for the classification of student archetypes in online courses
Alexandru Topîrceanu, Gabriela Grosseck
openalex +1 more source
From Code to Life: The AI‐Driven Revolution in Genome Editing
This review explores AI‐driven advancements in genome editing, focusing on CRISPR optimization, enhanced targeting precision, reduced off‐target effects, and novel tool design. It addresses ethical challenges, data biases, and highlights future prospects in precision medicine, agriculture, and synthetic biology.
Zhidong Li+10 more
wiley +1 more source
A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques. [PDF]
Athisayamani S+4 more
europepmc +1 more source
Topology Augmented with Geometry in the Assembly of Structural Databases: Kagome Intermetallics
The combination of topological filtering with geometrical restraints reliably screens for kagome layers within intermetallic compounds. The resulting comprehensive list of kagome net‐containing intermetallics can be reviewed to identify examples of interest for particular investigations and also used to build ML models to guide the search for further ...
Nataliya L. Gulay+8 more
wiley +1 more source
Predicting the interfacial tension of CO<sub>2</sub> and NaCl aqueous solution with machine learning. [PDF]
Liaqat K, Preston DJ, Schaefer L.
europepmc +1 more source
The research indicates that dual energy CT scanning can accurately predict the stroke source and clinical outcomes by analyzing thrombus heterogeneity. Based on histopathological analysis of thrombus components, these scans are better able to display thrombus details than standard CT scans, which is helpful for the development of visual navigation ...
Jingxuan Jiang+15 more
wiley +1 more source