Results 231 to 240 of about 4,846,031 (286)

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

Identifying Prognostic Factors in Brain Metastasis Patients Using MRI Morphological Features: A Machine Learning and Survival Analysis Approach. [PDF]

Diagnostics (Basel)
Pomohaci D, Marciuc EA, Dobrovăț BI, Onicescu OM, Chirica SI, Chirica C, Popescu MR, Haba D.   +7 more
europepmc   +1 more source

BoXHED2.0: Scalable Boosting of Dynamic Survival Analysis. [PDF]

J Stat Softw
Pakbin A, Wang X, Mortazavi BJ, Lee DKK.
europepmc   +1 more source

A Multilevel Spatial Survival Analysis of Patients in Texas with End-Stage Renal Disease. [PDF]

Healthcare (Basel)
Kim D, Chun Y, Griffith DA.
europepmc   +1 more source

Upfront surgery versus preoperative chemoradiotherapy: a comparative survival analysis for stage II/III resectable rectal cancer. [PDF]

Ann Coloproctol
Sukphol N, Limvorapitak T.
europepmc   +1 more source

Deep survival analysis from adult and pediatric electrocardiograms: a multi-center benchmark study. [PDF]

BioData Min
Lukyanenko P, Mayourian J, Liu M, Triedman JK, Ghelani SJ, La Cava WG.   +5 more
europepmc   +1 more source

Enhanced temporal encoding-decoding for survival analysis of multimodal clinical data in smart healthcare. [PDF]

Vis Comput Ind Biomed Art
Zhang X, Pan Z, Tian Y, Wang L, Xu T, Chen L, Liao X, Jiang T.   +7 more
europepmc   +1 more source

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Survival analysis

Journal of Clinical Nursing, 2012
Aims and objectives.  This paper describes when and why survival analysis is used and describes the use and interpretation of the techniques most commonly encountered in medical literature. This is performed using examples taken from core medical journals.Background.
  +8 more sources