Results 101 to 110 of about 25,541,282 (305)
Weibull nueural network survival models with frailty effects
Determining the exact relationship between features, including interaction and non-linear effects, and event times in traditional semi-parameteric and parametric survival analysis models can be difficult.
Kinghorn, Sam
core
The microbiome in human skin aging
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana +3 more
wiley +1 more source
Survivability Analysis of Networked Systems [PDF]
Survivability is the ability of a system to continue operating despite the presence of abnormal events such as accidental failures and malicious intrusions. Ensuring system survivability has increased in importance as critical infrastructures have become heavily dependent on computers.
openaire +3 more sources
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Multiple myeloma is a type of blood cancer that attacks plasma cells in the bone marrow and affects the immune system. This study analyzes the survival time of patients with multiple myeloma using Type 1 censored exponential distributed parameter ...
Cahya Arsyika Wahyu Subekti +4 more
doaj +1 more source
Gaussian Processes for Survival Analysis
We introduce a semi-parametric Bayesian model for survival analysis. The model is centred on a parametric baseline hazard, and uses a Gaussian process to model variations away from it nonparametrically, as well as dependence on covariates. As opposed to many other methods in survival analysis, our framework does not impose unnecessary constraints in ...
Fernandez, T, Rivera, N, Teh, Y
openaire +4 more sources
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Analysis of the survival patterns of United States naval officers [PDF]
The goal of this thesis is to identify and quantitatively evaluate the factors, especially commissioning source, that affect the longevity of officers in the U.S. Navy.
Korkmaz, Ibrahim
core +2 more sources
A Bivariate Copula–Driven Multi-State Model for Statistical Analysis in Medical Research
We develop and evaluate a copula-based multistate model for illness–death processes with dependent transition times. The framework couples Cox proportional hazards models for the marginal transition intensities with Archimedean copulas to capture ...
Hugo Brango +2 more
doaj +1 more source
Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança +2 more
wiley +1 more source

