Results 51 to 60 of about 110,162 (294)
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Introduction:The COVID-19 infectious epidemic has become a serious worry all over the world, including Iran. The high outbreak of disease ranked Iran as second in Asia and 11th in the world.
sedighe Rastaghi +2 more
doaj +1 more source
Endogenous Fishing Mortalities: a State-Space Bioeconomic Model [PDF]
A methodology that endogenously determines catchability functions that link fi shing mortality with contemporaneous stock abundance is presented. We consider a stochastic age-structured model for a fishery composed by a number of fi shing units ...
Da Rocha, José María +3 more
core +4 more sources
Forecasting mortality rates: Mexico 2001–2010
In this article, we propose to combine the Lee-Carter model with recently proposed interpolation orgraduation procedures for obtaining predictions of Mexican mortality rates in the period 2001-2010.Additionally, we obtain estimates of the mortality rates for the years within each decade in Mexicoduring the period from 1940 to 2000.
Alonso Fernández, Andrés Modesto +2 more
openaire +2 more sources
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source
BackgroundThis investigation explores the worldwide impact of diabetes burden associated with air pollution, drawing on data from the Global Burden of Disease Study 2021.MethodThe influence of air pollution on diabetes burden was analyzed at global ...
Qingsong Mao +3 more
doaj +1 more source
Tumor mutational burden as a determinant of metastatic dissemination patterns
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Lee Carter mortality forecasting: application to the Italian population [PDF]
In this paper we investigate the feasibility of using the Lee-Carter methodology to construct mortality forecasts for the Italian population. We fit the model to the matrix of Italian death rates for each gender from 1950 to 2000. A time-varying index of
Haberman, S., Russolillo, M.
core
A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST [PDF]
AbstractThis article proposes a neural-network approach to predict and simulate human mortality rates. This semi-parametric model is capable to detect and duplicate non-linearities observed in the evolution of log-forces of mortality. The method proceeds in two steps.
openaire +3 more sources
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source

