Results 71 to 80 of about 14,803,607 (247)

Identification of a Specific Gene Module for Predicting Prognosis in Glioblastoma Patients

Frontiers in Oncology, 2019
Introduction: Glioblastoma (GBM) is the most common and malignant variant of intrinsic glial brain tumors. The poor prognosis of GBM has not significantly improved despite the development of innovative diagnostic methods and new therapies.
Xiangjun Tang, Xiangjun Tang, Xiangjun Tang, Pengfei Xu, Bin Wang, Jie Luo, Rui Fu, Kuanming Huang, Longjun Dai, Junti Lu, Gang Cao, Hao Peng, Li Zhang, Zhaohui Zhang, Qianxue Chen   +14 more
doaj   +1 more source

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin, Binbin Xue, Dewei Xie, Jia Li, Juyuan Pan, Lanbing Zhu, Qiaowen Tong, Jing Lin, Ruofan Zhu, Xu Zhang, Junhui Xia, Xiang Li   +11 more
wiley   +1 more source

Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent [PDF]

We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l_1 and l_2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a ...
Trevor Hastie, Noah Simon, Jerome H. Friedman, Rob Tibshirani   +3 more
core  

Multivariable Cox proportional hazards model for in-hospital mortality.

, 2022
Multivariable Cox proportional hazards model for in-hospital mortality.
Jane Cerise (7875311), Jamie S. Hirsch (13200325), Safiya Richardson (318694), Johanna Martinez (8810027), Robert O. Roswell (13200328), Martin Lesser (373029), Karina W. Davidson (13200331)   +6 more
core   +1 more source

Analysis of survival-related factors in patients with endometrial cancer using a Bayesian network model.

PLoS ONE
BackgroundIn recent years, remarkable progress has been made in the use of machine learning, especially in analyzing prognosis survival data. Traditional prediction models cannot identify interrelationships between factors, and the predictive accuracy is
Huan Zhang, Shan Zhao, Pengzhong Lv
doaj   +1 more source

Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis

BMC Medical Genomics, 2018
Background Glioblastoma multiforme, the most prevalent and aggressive brain tumour, has a poor prognosis. The molecular mechanisms underlying gliomagenesis remain poorly understood.
Pengfei Xu, Jian Yang, Junhui Liu, Xue Yang, Jianming Liao, Fanen Yuan, Yang Xu, Baohui Liu, Qianxue Chen   +8 more
doaj   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Rubo Xing, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +16 more
wiley   +1 more source

Cox proportional hazards model of fever duration.

, 2019
Cox proportional hazards model of fever duration.
Takashi Odagiri (1981429), Reiko Saito (155351), Akinobu Hibino (4804428), Momoko Mawatari (6436940), Ikumi Tanabe (4734495), Yugo Shobugawa (155343), Hiroki Kondo (155338), Ren Yagami (6195317)   +7 more
core   +1 more source

Geoadditive hazard regression for interval censored survival times [PDF]

, 2005
The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Thomas Kneib, Kneib, Thomas
core   +1 more source

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon, Hugues Chabriat, Dominique Hervé, Stéphanie Guey, Sophie Tezenas Du Montcel, Juliette Ortholand   +5 more
wiley   +1 more source