Results 91 to 100 of about 7,803,855 (292)
Comparing risk prediction models
Should be routine when deriving a new model for the same purpose Risk prediction models have great potential to support clinical decision making and are increasingly incorporated into clinical guidelines.1 Many prediction models have been developed for cardiovascular disease—the Framingham risk score, SCORE, QRISK, and the Reynolds risk score—to ...
Collins, G, Moons, K
openaire +2 more sources
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
On a Multiplicative Multivariate Gamma Distribution with Applications in Insurance
One way to formulate a multivariate probability distribution with dependent univariate margins distributed gamma is by using the closure under convolutions property.
Vadim Semenikhine +2 more
doaj +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Cyber loss model risk translates to premium mispricing and risk sensitivity. [PDF]
Peters GW +5 more
europepmc +1 more source
Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
Russian-doll risk models [PDF]
We give a simple explicit algorithm for building multi-factor risk models. It dramatically reduces the number of or altogether eliminates the risk factors for which the factor covariance matrix needs to be computed. This is achieved via a nested "Russian-doll" embedding: the factor covariance matrix itself is modeled via a factor model, whose factor ...
openaire +2 more sources
Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed +10 more
wiley +1 more source
Health Behaviours in Scaffold Use Risk Assessment Model – SURAM
Introduction Problems concerning occupational safety and health are commonly found in the construction industry, including falling materials, tools or people from a height, stepping on objects, and injuries caused by hand tools.
Hubert Bojar +4 more
doaj +1 more source
Prediction Model Risk-of-Bias Assessment Tool for coronary artery lesions in Kawasaki disease. [PDF]
Huang H +14 more
europepmc +1 more source

