Results 231 to 240 of about 1,627,644 (339)
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
Extraction of Treatments and Responses From Non-Small Cell Lung Cancer Clinical Notes Using Natural Language Processing. [PDF]
Sivarajkumar S +12 more
europepmc +1 more source
Using Natural Language Processing to Predict Risk in Electronic Health Records [PDF]
Duy Van Le +3 more
openalex +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
A systematic survey of natural language processing for the Greek language. [PDF]
Bakagianni J +3 more
europepmc +1 more source
A solid‐state fermented probiotic (PYW) is developed using wheat bran as substrate, containing high viable Lacticaseibacillus paracasei and bioactive metabolites. PYW alleviates intestinal inflammation by gut microbiota composition, enriching indole derivatives, activating aryl hydrocarbon receptor signaling, and regulating macrophage polarization. PYW
Heng Zhang +11 more
wiley +1 more source
Digital phenotyping of Parkinson's disease via natural language processing. [PDF]
Aresta S +11 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

