Results 211 to 220 of about 532,216 (314)

Identifying sarcoidosis trends using web search and real-world data in Sweden: a retrospective longitudinal study. [PDF]

Sci Rep
Ziehfreund S, Tizek L, Arkema EV, Zink A.   +3 more
europepmc   +1 more source

ZDHHC17‐Mediated CDK4 Palmitoylation Drives Cell Cycle Progression and Orchestrates Cancer Immune Surveillance

Advanced Science, EarlyView.
ZDHHC17 palmitoylates CDK4, which together with TRAF6‐mediated ubiquitination, drives cell cycle progression and immune surveillance, revealing a rational combination of CDK4 inhibitors with immune checkpoint blockers for ZDHHC17‐driven cancers. ABSTRACT Uncontrolled cell cycle progression is a hallmark of cancer, tightly regulated by both intrinsic ...
Zekang Wang, Peipei Song, Xueji Wu, Lei Wang, Wei Xie, Pinning Feng, Chao Cheng, Jianping Guo   +7 more
wiley   +1 more source

Using Google web search to analyze and evaluate the application of ChatGPT in femoroacetabular impingement syndrome. [PDF]

Front Public Health
Chen Y, Zhang S, Tang N, George DM, Huang T, Tang J.   +5 more
europepmc   +1 more source

Web Search Trends of Implementing the Patient Autonomy Act in Taiwan. [PDF]

Healthcare (Basel), 2020
Yang PC, Shih MJ, Liu YA, Hsu YC, Chang HT, Lin MH, Chen TJ, Chou LF, Hwang SJ.   +8 more
europepmc   +1 more source

A High‐Entropy Strategy for Chemoresistive Ethanol Sensors With Remarkably Rapid and Selective Response

Advanced Science, EarlyView.
The configurational‐entropy strategy enables rapid and sensitive ethanol detection using a multicomponent oxide. The high‐entropy (InSnFeZnW)Ox provides enriched oxygen vacancies and diverse adsorption sites that strengthen surface reactivity. The sensor achieves a 5135% ethanol response with fast kinetics and stable long‐term operation.
Gi Baek Nam, Jin Ho Seo, Youngmin Kim, Hyuk Jin Kim, Yeong Jae Kim, Seon Ju Park, YunKyung Kim, Hyeon‐Min Yu, Jiwoo Lee, Ji Hyeon Lim, Jiheon Lim, Jong Hun Kang, WooChul Jung, Jong Jin Jung, Jeong Woo Han, Seung Eon Moon, Seong Ju Hwang, Jong‐Hoon Kang, Zhigang Zhu, Ho Won Jang   +19 more
wiley   +1 more source

Dilemmas of nomenclature: Web search analysis reveals European preferences in atopic skin diseases. [PDF]

Clin Transl Allergy
Wecker H, Ziehfreund S, Sitaru S, Johansson EK, Elberling J, Doll A, Nicolaidou E, Scala E, Boffa MJ, Schmidt L, Sikora M, Torres T, Chernyshov PV, Zink A.   +13 more
europepmc   +1 more source

ABHD17C‐Mediated S‐Depalmitoylation of BCL6B Enhances CD24 Transcription to Resist Macrophage Phagocytosis in Pancreatic Cancer

Advanced Science, EarlyView.
ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang, Di Cui, Fanzheng Meng, Xu Zhu, Liang Zhu, Liang Wu, Haifeng Hu, Jizhou Wang, Hanhui Yao, Lianxin Liu   +9 more
wiley   +1 more source

Using A Google Web Search Analysis to Assess the Utility of ChatGPT in Stem Cell Therapy. [PDF]

Stem Cells Transl Med
Chen L, Li H, Su Y, Yang Z, He Z, Wang D, Li JJ, Xing D.   +7 more
europepmc   +1 more source

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

Advanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen, Rui Liu, Yuan Zhou, Yin Xiao, Chengmin Feng, Lin Chen, Yanshi Li, Mengna Wang, Zhaobo Cheng, Yuxi Luo, Long Liu, Lijing Niu, Yue Xiang, Juan Peng, Guohua Hu, Min Pan   +15 more
wiley   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source