Results 261 to 270 of about 103,682 (312)

Analysing Entity Type Variation across Biomedical Subdomains

, 2012
Ananiadou, Sophia; id_orcid, Mihaila, Claudiu, Batista-Navarro, Riza Theresa   +2 more
core  

Allosteric DNAzyme‐Enabled Sensitive and Multiplex Detection of Biomarkers for Rapid Diagnosis of Urinary Tract Infections

Advanced Science, EarlyView.
A catalytic allosteric DNAzyme assay (SMART) is developed by engineering DNAzyme into a unimolecular biosensor, enabling highly sensitive and multiplex detection of small molecules and nucleic acids. SMART enables extraction‐free, one‐pot, one‐step, isothermal, and cost‐effective detection of biological markers, achieving >95% accuracy for rapid ...
Yanzhe Shen, Chenzhi Shi, Xiaowei Ma, Pengfei Hou, Haomin Zhang, Juanxiu Qin, Li Pan, Guilin Li, Lifei Gao, Qian Ma, Donglei Yang, Min Li, Pengfei Wang   +12 more
wiley   +1 more source

Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism. [PDF]

PLoS One
Luo Z, Che J, Ji F.
europepmc   +1 more source

Heterojunction‐Engineered Mass Spectrometry Platform for Deciphering Serum Metabolic Fingerprints in Diagnosis of Respiratory Diseases

Advanced Science, EarlyView.
Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen, Chaoqi Wang, Xi Yu, Yuming Jiang, Yijiao Qu, Huihui Fu, Yuyin Bu, Xiaoyong Zhang, Zongxiu Nie   +8 more
wiley   +1 more source

Microllm: a structured information extraction tool using large language models and named entity recognition in microbiology. [PDF]

Brief Bioinform
Lu J, Li F, Feng L, Yu Z, Lu J, Qin M, She S, Jiang H, Guo Z, Xia J, Han L.   +10 more
europepmc   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline. [PDF]

Front Artif Intell
Gonzalez-Gomez LJ, Hernandez-Munoz SM, Borja A, Arana-Salas FA, Azofeifa JD, Noguez J, Caratozzolo P.   +6 more
europepmc   +1 more source

Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect. [PDF]

Sci Rep
Subait WB, Ahmad N, Alzaidi MSA, Alqahtani M, Alhashmi AA, Aljehane NO, Alshahrani M, Alotaibi SD.   +7 more
europepmc   +1 more source

Evaluation of SURUS: a named entity recognition NLP system to extract knowledge from interventional study records. [PDF]

BMC Med Res Methodol
Peeters C, Vijverberg K, Pouwer M, Westerman B, Boot M, Verberne S.   +5 more
europepmc   +1 more source

Enhancing and Not Replacing Clinical Expertise: Improving Named-Entity Recognition in Colonoscopy Reports Through Mixed Real-Synthetic Training Sources. [PDF]

J Pers Med
Ioanovici AC, Feier AM, Mărușteri MȘ, Trâmbițaș-Miron AD, Dobru DE.   +4 more
europepmc   +1 more source