Results 171 to 180 of about 3,057,200 (307)

Machine learning and conventional Cox regression to predict target-lesion revascularization after percutaneous coronary intervention. [PDF]

Front Cardiovasc Med
El-Faramawi M, Busco M, Möller S, Okkels Jensen L, Flensted Lassen J.   +4 more
europepmc   +1 more source

Individual family record, Ray Elbert Cox

, 1938
Typescript of genealogical information about the family of Ray Elbert Cox of Manti, Utah.
Cox, Ray Elbert, 1916-1987
core  

Redirecting Monocyte Differentiation With Engineered Extracellular Vesicles for Glioma Immunotherapy

Advanced Science, EarlyView.
A dual‐targeting engineered extracellular vesicles (M1‐CS‐EVs) platform is developed to redirect monocytes differentiation into anti‐tumor macrophages for glioma immunotherapy. This nanoplatform combines CAR‐mediated tumor recognition with localized CD47 blockade, leading to synergistic immune activation and potent suppression of tumor progression in ...
Yuanwei Pan, Xuan Liu, Qian‐Fang Meng, Lei Cao, Rongrong Li, Yangtao Xu, Jing Zhang, Chenchen Zhao, Lang Rao, Chen Yu   +9 more
wiley   +1 more source

Risk factors for prolonged respiratory support in late preterm infants: a LASSO-Cox regression analysis. [PDF]

Front Pediatr
Huang Y, Bao XS, Sun N, Li K, Huang CC, Zhang SF.   +5 more
europepmc   +1 more source

Systematic Multi‐Level Analyses Decode the Arthritis‐Neurodegeneration Axis With In Vivo Validation

Advanced Science, EarlyView.
Arthritis and neurodegeneration are usually studied as separate disorders, but this study connects them through population evidence, genetic inference, transcriptomic mapping, and mouse models. It highlights RNF40 as a context‐dependent joint‐brain candidate, induced in inflammatory joints yet functionally linked to dopamine‐neuron vulnerability ...
Jinwen Wang, Wenhui Xie, Lei Yang, Zhengrong Wang, Yi Huang, Peng Huang, Yuan Liu, Jun Hu   +7 more
wiley   +1 more source

Survival analysis of left-truncated and right-censored HIV data: comparison of Cox regression and alternative models. [PDF]

BMC Med Res Methodol
Çakır T, Terzi Y.
europepmc   +1 more source

Fibrillarin Resists Cellular Senescence Via SIRT1‐Dependent Nicotinamide Metabolism and Its Inhibition Sensitizes Senolytic Therapy in Esophageal Squamous Cell Carcinoma

Advanced Science, EarlyView.
FBL directly binds to and stabilizes SIRT1 by blocking its ubiquitin‐proteasome degradation, thereby sustaining nicotinamide metabolism and redox homeostasis to counteract cellular senescence in ESCC. Genetic and pharmacological suppression of FBL sensitizes tumor cells to senolytic therapy.
Xing Jin, Hong Liu, Ling Gao, Lei Liu, Ji‐Bin Liu, Xiaoxia Jin, Ming‐Song Wang, Dan Liu, Li Feng, Wen‐Lian Chen   +9 more
wiley   +1 more source

Prediction and risk factor analysis of dental implant failure using Cox regression and machine learning. [PDF]

J Periodontol
Hwang IK, Ahn SH, Kim SK, Kim TI.
europepmc   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models. [PDF]

BMC Infect Dis
Adeboye A, Georgeleen O, Olusesan A, Colin N.   +3 more
europepmc   +1 more source