Our goal was to develop an explicit, quantitative model assessing clinical and economic outcomes to inform policies regarding the return of genomic Ifs: the Genomic IFs Policy Model.
This is the first study reporting the use of a large, diverse panel of different structural cardiotoxin drug classes in combination with an advanced cardiac in vitro model assessing cardiac structure.
The model assessing the likelihood of demographic characteristics associated with any CM use (practitioner or treatment), was statistically significant, χ2(13) = 170.04, p < 0.001, and correctly classified 65.6% of cases.
Based on current research results, the structure and content for a maturity model assessing learning factories was developed and introduced.
We first introduce a detailed deterministic model assessing the impact of incorporating reverse logistics into a forward-oriented supply chain.
We designed a decision analytic model assessing the acute phase of MDD treatment within a 6-month time horizon.
The developed mathematical model assessing the behaviour of these complex systems includes description of general boundary conditions, the interaction mechanisms between structures, power flows and control characteristics.
To present a computerized model assessing individualized cost utility for current treatments for neovascular age-related macular degeneration (AMD) to enhance discussion regarding treatment options.
The first one is between two scenarios drawn up for the same model, assessing the impact of energy and environmental policies in both quantitative and qualitative terms.
This paper presents an integrated model assessing the impacts of climate change, agro-ecosystem and demographic transition patterns on major ecosystem services in West-Africa along a partial overview of economic aspects (poverty reduction, food self-sufficiency and income generation).
The environmental and economic performance of five Charolais beef production systems (three specialized beef producer test cases in grassland areas and two mixed crop livestock test cases with a more intensive production system) were assessed by coupling an economic optimization model ("Opt'INRA") with a model assessing non-renewable energy (NRE) consumption and greenhouse gas emissions ("PLANETE").
