Results 181 to 190 of about 158,589 (258)

A combined radiomics and habitat analysis model for predicting early recurrence of HCC after liver transplantation. [PDF]

Front Oncol
Yang Y, Luo Y, Liu H, Wang M, Xiao X, Zhang L, Su X, Shi B, Wang J, Xie H.   +9 more
europepmc   +1 more source

The RNA‐Binding Protein PARN Remodeled 3′ UTR Structure Defines Poly(A)‐Loading Sites to Mediate Immunoglobulin Homeostasis

Advanced Science, EarlyView.
ABSTRACT Class Switch Recombination (CSR) is essential for generating high‐affinity antibody isotypes from IgM during adaptive humoral responses. Despite well‐established roles for various transcription factors, whether CSR is subject to dedicated post‐transcriptional control represents a significant gap in knowledge.
Siyuan Sun, Chen Yang, Xiaoyu Wang, Naijing Hu, Shengyao Zhang, Xinchun Li, Yu Chen, Jianan Zhai, Xiangfeng Tang, Wei Lu, Chenxu Lu, Changchang Cao, Weiru Yu, Wenhao Wu, Xiaonan Nie, Fengchao Wang, Bing Fang, Fazheng Ren, Yixuan Li, Juan Chen   +19 more
wiley   +1 more source

Mirror, mirror on the wall, can artificial intelligence predict it all? [PDF]

Indian J Anaesth
Kurdi MS, Gupta B.
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

Gut fungal signatures in colorectal cancer and their potential for supporting diagnosis: a multi-cohort metagenomic analysis. [PDF]

J Transl Med
Zhang Z, Lu T, Dong B, Liu J, Zhang Y, Li S, Liu H, Li X, Guan T, Guo H, Yan Q, Lei Z, Yu X, Wang L, Kang J, Li L, Zhao D.   +16 more
europepmc   +1 more source

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

Advanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li, Qizhe Zhang, Hanchen Chen, Kepeng Lin, Chengfang Luo, Mengying Yang, Wei Xu, Fan Yao, Jianbing Yan, Qing‐Yong Yang, Xuehai Hu   +10 more
wiley   +1 more source

Fast decision mechanism for ternary tree partitioning in VVC intra coding. [PDF]

PLoS One
Sun J, Zhu Z, Tu R, Xie Z.
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

Intra- and peritumoral radiomics for predicting equivocal HER2 status of breast cancer on contrast-enhanced mammography. [PDF]

Front Oncol
Xu C, Qiu J, Zhang S, Chen Y, Wang X, Zhang H, Wang Q, Chu T, Li Z, Lu P, Xie H, Ma H, Qu N, Mao N, Liu J, Chen R, Gao J.   +16 more
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source