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Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202203984
Abstract: Mechanistic toxicology provides a powerful approach to inform on the safety of chemicals and the development of safe‐by‐design compounds. Although toxicogenomics supports mechanistic evaluation of chemical exposures, its implementation into the regulatory framework is hindered…
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Keywords:
outcome pathway;
development new;
development;
chemical ... See more keywords
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Published in 2018 at "ESC Heart Failure"
DOI: 10.1002/ehf2.12201
Abstract: Cardiac involvement is the main determinant of poor outcomes in sarcoidosis. Right ventricular (RV) dysfunction and left ventricular (LV) late gadolinium enhancement (LGE) have been reported to be predictive of adverse outcome in non‐ischaemic cardiomyopathies.…
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Keywords:
adverse outcome;
magnetic resonance;
right ventricular;
pulmonary sarcoidosis ... See more keywords
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Published in 2020 at "Environmental toxicology and chemistry"
DOI: 10.1002/etc.4757
Abstract: As contaminant exposures in aquatic ecosystems continue to increase, the need for streamlining research efforts in environmental toxicology using predictive frameworks also grows. One such framework is the Adverse Outcome Pathway (AOP). An AOP framework…
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Keywords:
contaminants emerging;
adverse outcome;
emerging concern;
bivalve models ... See more keywords
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Published in 2021 at "Environmental Toxicology and Chemistry"
DOI: 10.1002/etc.5205
Abstract: An adverse outcome pathway (AOP) is a description of the sequence of causally linked events, spanning multiple levels of biological organization, required to produce a toxic effect when an organism is exposed to a stressor…
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Keywords:
adverse outcome;
pathways paradox;
outcome;
aop framework ... See more keywords
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Published in 2021 at "Small"
DOI: 10.1002/smll.202007628
Abstract: Faster, cheaper, sensitive, and mechanisms-based animal alternatives are needed to address the safety assessment needs of the growing number of nanomaterials (NM) and their sophisticated property variants. Specifically, strategies that help identify and prioritize alternative…
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Keywords:
adverse outcome;
outcome pathways;
animal strategies;
non animal ... See more keywords
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Published in 2018 at "Archives of Toxicology"
DOI: 10.1007/s00204-018-2183-2
Abstract: The advent of adverse outcome pathways (AOPs) has provided a new lexicon for description of mechanistic toxicology, and a renewed enthusiasm for exploring modes of action resulting in adverse health and environmental effects. In addition,…
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Keywords:
future trajectory;
adverse outcome;
outcome pathways;
toxicology ... See more keywords
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Published in 2019 at "Archives of Toxicology"
DOI: 10.1007/s00204-019-02551-1
Abstract: An adverse outcome pathway (AOP) network is an attempt to represent the complexity of systems toxicology. This study illustrates how an AOP network can be derived and analysed in terms of its topological features to…
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Keywords:
adverse outcome;
network;
outcome pathway;
aop network ... See more keywords
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Published in 2020 at "Journal of Thrombosis and Thrombolysis"
DOI: 10.1007/s11239-020-02060-4
Abstract: Background and aims Increased β-amyloid and decreased mitochondrial-derived peptide (MOTS-c), are reported in diabetes. We investigated their additive value to high on-clopidogrel platelet reactivity (HPR) for adverse outcome in type 2 diabetics after recent revascularization.…
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Keywords:
adverse outcome;
type diabetics;
platelet;
platelet reactivity ... See more keywords
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Published in 2020 at "Aquatic toxicology"
DOI: 10.1016/j.aquatox.2020.105478
Abstract: This study was undertaken to systematically assess the utilities and performance of ontology-based semantic analysis in adverse outcome pathway (AOP) research. With an increasing number of AOPs developed by scientific domain experts to organize toxicity…
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Keywords:
adverse outcome;
semantic analysis;
ontology;
aop wiki ... See more keywords
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Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106415
Abstract: BACKGROUND AND OBJECTIVE Explainable Artificial Intelligence (XAI) has been identified as a viable method for determining the importance of features when making predictions using Machine Learning (ML) models. In this study, we created models that…
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Keywords:
adverse outcome;
explainable artificial;
adverse outcomes;
pharmacovigilance ... See more keywords
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Published in 2020 at "Journal of Radiology Nursing"
DOI: 10.1016/j.jradnu.2020.01.005
Abstract: Abstract Communicating bad news to a patient or family is as much an art and test of will power as anything. The following article outlines considerations and points of emphasis when performing this task. Also…
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Keywords:
adverse outcome;
communication adverse;
outcome procedure;
effective communication ... See more keywords