Results 211 to 220 of about 709,306 (283)

Accurate Clinical Entity Recognition and Code Mapping of Anatomopathological Reports Using BioClinicalBERT Enhanced by Retrieval-Augmented Generation: A Hybrid Deep Learning Approach. [PDF]

Bioengineering (Basel)
Abdaoui H, Barki C, Dergaa I, Tlili K, Ceylan Hİ, Bragazzi NL, de Giorgio A, Ben Salah R, Rahmouni HB.   +8 more
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Nested named entity recognition in traditional Chinese medicine electronic medical records via dual-granularity feature augmentation and span classification. [PDF]

Sci Rep
Minghao L, Qing Y, Chunlei C, Peng L.
europepmc   +1 more source

ESCRT‐Mimetic Nanodegrader Targets STING for Anti‐Inflammatory Therapy

Advanced Science, EarlyView.
A nanoplatform‐enabled targeted protein degradation strategy is presented to regulate aberrant STING signaling. STING‐ATTEC induces selective autophagic degradation of STING via formation of a STING–ATTEC–LC3 ternary complex, while the cationic FA‐LNP+ system enhances LC3 generation and targeted delivery. Together, this synergistic approach efficiently
Fuyuan Zhou, Qiming Zhai, Zhihao Yao, Qing Li, Yan Yang, Si Wang, Chao Huang, Liangjing Xin, Tao Chen, Jinlin Song   +9 more
wiley   +1 more source

Span-based annotation framework for LLM-based clinical named entity recognition: development and validation using Korean emergency department notes. [PDF]

JAMIA Open
Jang EH, Aguirre J, Lee S, Moon H, Cha WC.   +4 more
europepmc   +1 more source

NQO1‐Mediated Anoikis Resistance and Immune Evasion Define a High‐Risk Multi‐Omic Subtype for Precision Management of T1 High‐Grade Bladder Cancer

Advanced Science, EarlyView.
Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo, Chunru Xu, Shufan Fu, Qiang Cheng, Juan Li, Linkuo Shang, Gaojie Li, Yang Yang, Ying Wang, Yanqing Gong, Shengwei Xiong, Jian Fan, Changwei Yuan, Mei Zhang, Yifan Zuo, Elena Papaleo, Yue Shi, Yuan Liang, Xuesong Li, Hongzhao Li, Weimin Ci   +20 more
wiley   +1 more source

Chinese medical named entity recognition integrating adversarial training and feature enhancement. [PDF]

Sci Rep
Zhang X, Kao Y, Che S, Yan J, Zhou S, Guo S, Wang W.   +6 more
europepmc   +1 more source

Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease

Advanced Science, EarlyView.
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang, Yuting Liu, Shufan Jiang, Zilin Fang, Mengda Jiang, Xiaofeng Tao, Tianyi Zhu, Jipeng Li, Sijie Fang, Xuefei Song, Yinwei Li, Jing Sun, Chuanjun Tong, Zhengrun Gao, Huifang Zhou, Xianqun Fan   +15 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

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source