Results 301 to 310 of about 9,897,879 (386)

Large-Scale Meta-Analysis of Nanomaterials Toxicity Based on Natural Language Processing of Scientific Articles. [PDF]

ACS Appl Nano Mater
Paula AJ, Petry R, Almeida JM, Caetano AA, Sales J, Ferreira OP, Martinez DST, Kobs HJ, Faria AF.   +8 more
europepmc   +1 more source

Generative AI in the Era of Transformers: Revolutionizing Natural Language Processing with LLMs

Archna Balkrishna Yadav
openalex   +2 more sources

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

Advanced Science, EarlyView.
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, Sumin Kim, Jiwon Kim, Dongjoo Lee, Sungwoo Bae, Haenara Shin, Daeseung Lee, Hongyoon Choi   +7 more
wiley   +1 more source

Diagnosis of cardiac conditions from 12-lead electrocardiogram through natural language supervision. [PDF]

NPJ Digit Med
Zhou X, Li T, Hayama H, Nakamura K, Liu SH, Chen W, Zhu X.   +6 more
europepmc   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
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, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
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, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models. [PDF]

Nat Commun
Goldstein A, Ham E, Schain M, Nastase SA, Aubrey B, Zada Z, Grinstein-Dabush A, Gazula H, Feder A, Doyle W, Devore S, Dugan P, Friedman D, Brenner M, Hassidim A, Matias Y, Devinsky O, Siegelman N, Flinker A, Levy O, Reichart R, Hasson U.   +21 more
europepmc   +1 more source

Implementation Report: Integrating Natural Language Processing Approaches in Child and Adolescent Mental Health Services Research Using Normalisation Process Theory

Emma Fergusson, En-Nien Tu, Siyu Zhou, Huilin Chen, Andrey Kormilitzin, Jasmine Laing, Jennifer Chapman   +6 more
openalex   +1 more source

Fermented Lacticaseibacillus Paracasei Cultures Ameliorate Colitis by Modulating Microbiota‐Derived Tryptophan Metabolism and Macrophage Polarization

Advanced Science, EarlyView.
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, Jingzhou Sun, Xin Zheng, Huiqing Yang, Aowen Xie, Yuxuan Ding, Yuxia Mei, Jinshan Li, Yuanliang Hu, Min Ren, Yangyang Liu, Yunxiang Liang   +11 more
wiley   +1 more source