Results 311 to 320 of about 23,378,967 (385)

Uncoupling Metastasis and Epithelial‐to‐Mesenchymal Transition in sgP19/kRAS‐Driven Spontaneous Metastatic Liver Tumor Model

Advanced Science, EarlyView.
The article first reported that a murine mixed typical intrahepatic cholangiocarcinoma (iCCA)/sarcomatoid iCCA liver tumor model with 100% incidence of spontaneous extrahepatic metastasis and confirmed the occurrence of in mouse iCCA. Most importantly, EMT induced by the TGF‐β/ZEB1 axis does not influence tumor development or distant metastasis in this
Jingwen Wang, Zijing Xu, Lei Xu, Lishan Wang, Jiahao Geng, Xue Wang, Meng Xu, Daphne Superville, Melissa Reeves, Matthias Evert, Diego F. Calvisi, Xin Chen, Xinhua Song   +12 more
wiley   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

Risk prediction models for hip fracture: parametric versus Cox regression

, 2013
Geok Yan Loo
openalex   +1 more source

Irradiated Tumor Cell‐Derived Microparticles Activate Systemic Anti‐Tumor Immunity via the STING/NLRP3/GSDMD Axis in Neutrophils

Advanced Science, EarlyView.
Radiotherapy induces tumor cells to release microparticles (RT‐MPs) into the circulation. The mitochondrial DNA carried by these RT‐MPs activates the STING/NLRP3/GSDMD axis in splenic neutrophils, triggering IL‐1β secretion. This, in turn, enhances dendritic cell function and facilitates the formation of cytotoxic T lymphocytes, thereby promoting ...
Yan Hu, Jiacheng Wang, Mengjie Che, Zheng Yang, Jingshu Meng, Xiao Yang, Yue Deng, Zhiyuan Zhou, Yijun Wang, Wenwen Wei, Zhanjie Zhang, Bian Wu, You Qin, Kunyu Yang, Honglin Jin, Fang Huang, Yajie Sun, Lu Wen, Chao Wan   +18 more
wiley   +1 more source

Prediction of Distant Metastasis of Lymph-Node-Negative Primary Breast Cancer From Gene Expression Profiling Using Cox-Boost Regression Model

Omid Hamidi, Payam Amini, Leili Tapak, Yasaman Zohrab Beigi, Saeid Afshar, Irina Dinu   +5 more
openalex   +1 more source

A STUDY OF TIES AND TIME-VARYING COVARIATES IN COX PROPORTIONAL HAZARDS MODEL

, 2011
Xin Xin
openalex   +1 more source

Prognostic factors and overall survival for second primary malignancies in myelodysplastic syndromes: a Cox regression coupled with competing risk model based on Surveillance, Epidemiology, and End Results (SEER) database

Hang Li, Qiang Li, Jian Ge, Peili Zhu, Zhencang Zhou, Nana Zhe   +5 more
openalex   +1 more source

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Deep learning for the partially linear Cox model

Annals of Statistics, 2022
While deep learning approaches to survival data have demonstrated empirical success in applications, most of these methods are difficult to interpret and mathematical understanding of them is lacking.
Qixian Zhong, Jonas Mueller, Jane-Ling Wang   +2 more
semanticscholar   +1 more source

Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images

IEEE Transactions on Medical Imaging, 2021
Whole-Slide Histopathology Image (WSI) is generally considered the gold standard for cancer diagnosis and prognosis. Given the large inter-operator variation among pathologists, there is an imperative need to develop machine learning models based on WSIs
Wei Shao, Tongxin Wang, Zhi Huang, Zhi Han, Jie Zhang, Kun Huang   +5 more
semanticscholar   +1 more source

Model selection among Dimension-Reduced generalized Cox models

Lifetime Data Analysis, 2022
Conventional semiparametric hazards regression models rely on the specification of particular model formulations, such as proportional-hazards feature and single-index structures. Instead of checking these modeling assumptions one-by-one, we proposed a class of dimension-reduced generalized Cox models, and then a consistent model selection procedure ...
Ming-Yueh Huang, Kwun Chuen Gary Chan
openaire   +2 more sources