Results 211 to 220 of about 416,781 (292)
Rotten and gold apples: inside and outside the gray zone of a ROC curve. [PDF]
Messina A, Chew M, Cecconi M.
europepmc +1 more source
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng +20 more
wiley +1 more source
Comparing the power of obesity indices to predict cardiovascular diseases at different ages: An application of conditional time-dependent ROC curve in Healthy Heart Cohort of Yazd, Iran. [PDF]
Khademi Kolah Loui MH +5 more
europepmc +1 more source
ABSTRACT Gastric cancer (GC) is a major global health concern, as its prevention and treatment remain significant challenges. The 8‐oxoguanine (o8G) modification of circRNAs, alongside their capacity to orchestrate liquid‐liquid phase separation (LLPS) and autophagy, plays a pivotal role in driving tumor progression and determining therapeutic outcomes.
Lei Peng +8 more
wiley +1 more source
Establishing minimal clinically important differences for the quality of life scale QLICD-SLE for patients with systemic lupus erythematosus based on ROC curve. [PDF]
Liu Y +6 more
europepmc +1 more source
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo +18 more
wiley +1 more source
Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis. [PDF]
Hu CY, Sun LC, Lin MY, Chen MH, Hsu HT.
europepmc +1 more source
The ROC curve for regularly measured longitudinal biomarkers. [PDF]
Michael H, Tian L, Ghebremichael M.
europepmc +1 more source
Through integrated proteomic and metabolomic profiling, Zhao et al. identified three molecular subtypes of high‐grade serous ovarian cancer. The high‐risk subtype exhibits activated arachidonic acid metabolism and cyclooxygenase‐2 overexpression. This metabolic axis promotes M2‐like macrophage infiltration, which contributes to platinum resistance ...
Yuxi Zhao +11 more
wiley +1 more source

