Results 201 to 210 of about 709,306 (283)

Transformer-based prototype network for Chinese nested named entity recognition. [PDF]

Sci Rep
Zhang K, Lu J, Ai Z, Wang L, Liu Z, Gu P, Liu X.   +6 more
europepmc   +1 more source

Cascade‐Responsive MXene@Cu‐MOF Heterostructure Integrates Antioxidant Activity, Infection Control, and Vascularization for Tracheal Repair

Advanced Science, EarlyView.
A cascade‐responsive MXene@Cu‐MOF/GelMA hydrogel is engineered as a “skeleton–backpack” platform for extensive tracheal repair. The MXene framework scavenges postoperative ROS and converts NIR light into mild hyperthermia, while the Cu‐MOF component provides pH/NIR‐responsive Cu2+ dosing for infection control, angiogenesis, and chondrogenesis.
Liang Guo, Yingran Shen, Jiaoyu Yi, Juanjuan Li, Ziming Wang, Erji Gao, Siqiang Zheng, Zhe‐Sheng Chen, Bo Tao   +8 more
wiley   +1 more source

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset. [PDF]

Pac Symp Biocomput
Dey SK, Powell JM, Ismail A, Perrone J, Sarker A.   +4 more
europepmc   +1 more source

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects

Advanced Science, EarlyView.
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang, Tianyu Shao, Fengjiang Qu, Caiyun Bai, Sijie Li, Pin Gao, Wenna Li, Keman Cheng, Xiao Zhao, Zhimin Fan   +9 more
wiley   +1 more source

Artificial intelligence in healthcare text processing: a review applied to named entity recognition. [PDF]

Front Artif Intell
de Almeida SS, Silva Fontes R, Pareja Credidio Freire Alves L, Júnior MC, José Pinheiro Caldeira Silva G, Ramalho Cortez L, de Morais AHF, Medeiros Machado G, Gonçalo Oliveira H, Cunha-Oliveira A, Dos Santos JPQ, de Medeiros Valentim RA.   +11 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Gold standard, multi-genre dataset for named entity recognition and linking. [PDF]

Sci Data
Olewniczak S, Szymański J.
europepmc   +1 more source

Detachment‐Induced FAK‐STAT3‐NNMT Inhibits CTCs Anoikis to Promote Breast Cancer Metastasis by Enhancing Fatty Acid Oxidation

Advanced Science, EarlyView.
The FAK‐STAT3‐NNMT axis drives anoikis resistance in circulating tumor cells by reprogramming fatty acid oxidation. Targeting this metabolic vulnerability suppresses metastasis, untangling a key mechanism of breast cancer progression and revealing NNMT as a promising therapeutic target.
Qingchao Tong, Yilei Ma, Yuzhen Gao, Lin Zhou, Luping Lou, Qiang Fang, Sining Fang, Ru Zhao, Jin Zeng, Jun Yang, Guoli Li, Xinyou Xie, Yanzhong Wang, Jun Zhang   +13 more
wiley   +1 more source

Chinese crop diseases and pests named entity recognition based on variational information bottleneck and feature enhancement. [PDF]

Sci Rep
Huang R, Li M, Zheng H, Zhao Z.
europepmc   +1 more source

Nanomedicine Meets Immunotherapy: Advancing Adoptive Cell Therapy with Nanoparticles in the Treatment of Cancer with Sustainability Perspectives

Advanced Science, EarlyView.
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård, Tatiana Bobrova, Amalie Leinebø, Thibault Leray, Shayamita Ghosh, Lorena García‐Hevia, Chiara Puccinelli, Lorenzo Riccio, Jacopo Sorani, Davide Bonifazi, Julien Caumartin, Emmanuel Donnadieu, Florence Gazeau, Roland Hischier, Else Marit Inderberg, Mónica L. Fanarraga, Maria Loustau, Bernd Nowack, Sébastien Wälchli, Cécilia Ménard‐Moyon   +19 more
wiley   +1 more source