Results 261 to 270 of about 236,721 (282)

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution

open access: yesAdvanced Functional Materials, EarlyView.
To overcome the reliance on noble metals for the chlorine evolution reaction (CER), we designed a non‐precious single‐atom catalyst (SAC), NiN3O–O. It achieves a low overpotential of 75 mV, 95.8% Cl2 selectivity, and outperforms commercial dimensionally stable anodes (DSAs).
Kai Ma   +9 more
wiley   +1 more source

Cumulative Risk and Population Attributable Fraction in Prevention

Journal of Clinical Child & Adolescent Psychology, 2003
Compares the use of relative risk versus population attributable fraction in determining the target population for multirisk prevention programs in psychology. Results show that relative risk generally increases as a function of cumulative risk. Guided by this measure, prevention programs should target populations with the largest cumulative risk ...
Caroline H, Davis   +3 more
openaire   +2 more sources

Decomposition of the population attributable fraction for two exposures

Annals of Epidemiology, 2018
The population attributable fraction (AF) is frequently used to quantify disease burden attributable to exposures. AF is interpreted as the fractional reduction of disease events that would occur if exposures were eliminated. This article aims to provide a decomposition of the overall AF for two exposures into AFs for each of two exposures and AF for ...
Masataka, Taguri, Aya, Kuchiba
openaire   +2 more sources

Revisiting the Population Attributable Fraction

Epidemiology
Background: The population attributable fraction corresponds to the reduction of the outcome had individuals (counter-to-fact) not experienced the exposure scaled by the observed incidence. Estimators proposed by Levin and Miettinen implicitly assume the study population is a random sample of the target population, which is not
Mark Klose   +2 more
openaire   +2 more sources

Population-attributable fraction for occupation and asthma

2010
Here we review the use of the concept of population-attributable risk (PAR) of asthma associated with occupation and give the context for its interpretation. For asthma there is major interest in delineating the “burden of disease”, because such assessments can inform health care priorities, intervention policies, and assessment of impact once such ...
Kjell Torén, Paul D. Blanc
openaire   +1 more source

Errors in the Calculation of the Population Attributable Fraction

Epidemiology
One of the common errors in the calculation of the population attributable fraction (PAF) is the use of an adjusted risk ratio in the Levin formula. In this article, we discuss the errors visually using wireframes by varying the standardized mortality ratio (SMR) and associational risk ratio (aRR) when the prevalence of exposure is fixed.
Etsuji Suzuki, Eiji Yamamoto
openaire   +3 more sources

[Population attributable fraction: a guideline for disease prevention].

Nederlands tijdschrift voor geneeskunde, 2022
The improvement of public health relies on effective strategies for disease prevention, but the optimal preventive strategy is often difficult to determine. The population attributable fraction is a tool that allows policy makers to prioritise among different interventions by quantifying the share of disease in the population that is due to one ...
Amber, Yaqub   +2 more
openaire   +1 more source

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