Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment

Frontiers in Physiology ◽

10.3389/fphys.2017.00917 ◽

2017 ◽

Vol 8 ◽

Cited By ~ 34

Author(s):

Kelly C. Chang ◽

Sara Dutta ◽

Gary R. Mirams ◽

Kylie A. Beattie ◽

Jiansong Sheng ◽

...

Keyword(s):

Risk Assessment ◽

Experimental Design ◽

Uncertainty Quantification ◽

In Silico ◽

Design Considerations ◽

Data Variability

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An orthogonal experimental design and QuEChERS based UFLC-MS/MS for multi-pesticides and human exposure risk assessment in Honeysuckle

Industrial Crops and Products ◽

10.1016/j.indcrop.2021.113384 ◽

2021 ◽

Vol 164 ◽

pp. 113384

Author(s):

Ling Fang ◽

Xiaofang Liao ◽

Qing Zhang ◽

Linchun Shi ◽

Lidong Zhou ◽

...

Keyword(s):

Risk Assessment ◽

Experimental Design ◽

Human Exposure ◽

Orthogonal Experimental Design ◽

Exposure Risk ◽

Exposure Risk Assessment

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Acute mixture toxicity of pesticide formulations and perspective of use in silico methods to complement risk assessment of plant protection products

Toxicology Letters ◽

10.1016/j.toxlet.2018.06.990 ◽

2018 ◽

Vol 295 ◽

pp. S238

Author(s):

S. Kolesnyk ◽

O. Riabukha ◽

M. Prodanchuk ◽

P. Zhminko ◽

O. Vasetska

Keyword(s):

Risk Assessment ◽

In Silico ◽

Plant Protection ◽

Mixture Toxicity ◽

Plant Protection Products ◽

Pesticide Formulations ◽

In Silico Methods

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Population based optimal experimental design in cancer diagnosis and chemotherapy: In silico analysis

Journal of Process Control ◽

10.1016/j.jprocont.2012.12.009 ◽

2013 ◽

Vol 23 (4) ◽

pp. 561-569 ◽

Cited By ~ 2

Author(s):

Kanchi Lakshmi Kiran ◽

Lakshminarayanan Samavedham

Keyword(s):

Experimental Design ◽

Cancer Diagnosis ◽

In Silico ◽

In Silico Analysis ◽

Population Based ◽

Optimal Experimental Design ◽

Silico Analysis

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Experimental Design Considerations for In Vitro Non-Natural Glycan Display via Metabolic Oligosaccharide Engineering

Current Protocols in Chemical Biology ◽

10.1002/9780470559277.ch100059 ◽

2010 ◽

Vol 2 (3) ◽

pp. 171-194 ◽

Cited By ~ 4

Author(s):

Elaine Tan ◽

Ruben T. Almaraz ◽

Hargun S. Khanna ◽

Jian Du ◽

Kevin J. Yarema

Keyword(s):

Experimental Design ◽

Design Considerations ◽

Metabolic Oligosaccharide Engineering

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Optimization of an In Silico Cardiac Cell Model for Proarrhythmia Risk Assessment

2016 Computing in Cardiology Conference (CinC) ◽

10.22489/cinc.2016.253-483 ◽

2016 ◽

Cited By ~ 3

Author(s):

Sara Dutta ◽

David Strauss ◽

Thomas Colatsky ◽

Zhihua Li

Keyword(s):

Risk Assessment ◽

In Silico ◽

Cell Model ◽

Cardiac Cell

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Structural Damage and Risk Assessment and Uncertainty Quantification

Damage Assessment and Reconstruction after War or Natural Disaster - NATO Science for Peace and Security Series C: Environmental Security ◽

10.1007/978-90-481-2386-5_4 ◽

2009 ◽

pp. 95-108 ◽

Cited By ~ 1

Author(s):

H. G. Matthies

Keyword(s):

Risk Assessment ◽

Uncertainty Quantification ◽

Structural Damage

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Experimental Design Considerations

Inhalation Toxicology of Air Pollution: Clinical Research Considerations ◽

10.1520/stp32839s ◽

2008 ◽

pp. 9-9-5

Author(s):

JJ O'Neil

Keyword(s):

Experimental Design ◽

Design Considerations

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OpenRiskNet, an open e-infrastructure to support data sharing, knowledge integration and in silico analysis and modelling in risk assessment

Toxicology Letters ◽

10.1016/j.toxlet.2018.06.617 ◽

2018 ◽

Vol 295 ◽

pp. S104 ◽

Cited By ~ 1

Author(s):

T.E. Exner ◽

J. Dokler ◽

D. Bachler ◽

L.R. Farcal ◽

C.T. Evelo ◽

...

Keyword(s):

Risk Assessment ◽

Data Sharing ◽

In Silico ◽

Knowledge Integration ◽

In Silico Analysis ◽

Silico Analysis

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A Highway Section Close to an Active Fault – Seismic Risk Assessment and Design Considerations

Geotechnical Engineering for Transportation Projects ◽

10.1061/40744(154)166 ◽

2004 ◽

Cited By ~ 1

Author(s):

A. P. Alexandris ◽

E. A. Protopapa ◽

D. J. Papastamatiou

Keyword(s):

Risk Assessment ◽

Seismic Risk ◽

Active Fault ◽

Seismic Risk Assessment ◽

Design Considerations

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Experimental Design Considerations for In Vitro Microbial Endocrinology Investigations

Microbial Endocrinology ◽

10.1007/978-1-4419-5576-0_16 ◽

2010 ◽

pp. 291-308 ◽

Cited By ~ 1

Author(s):

Richard D. Haigh

Keyword(s):

Experimental Design ◽

Design Considerations

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