Results 211 to 220 of about 195,991 (305)
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park +7 more
wiley +1 more source
Improving police recorded crime data for domestic violence and abuse through natural language processing. [PDF]
Cook D, Weir R, Humphreys L.
europepmc +1 more source
Learned Conformational Space and Pharmacophore Into Molecular Foundational Model
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang +8 more
wiley +1 more source
Dementia-related volumetric assessments in neuroradiology reports: a natural language processing-based study. [PDF]
Mayers AJ +4 more
europepmc +1 more source
A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang +13 more
wiley +1 more source

