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Alternatives to Laboratory Animals : ATLA|April 7, 2007
A comparative study of machine learning algorithms applied to predictive toxicology data miningDaniel C Neagu, Gongde Guo, Paul R Trundle, et al.
Annals of Plastic Surgery|October 1, 1995
The use of the transverse rectus abdominis musculocutaneous flap after abdominoplastyS O Sozer, E D Cronin, T M Biggs, et al.
Toxicology Letters|January 3, 2009
Pharmaceuticals in the environment: good practice in predicting acute ecotoxicological effectsJudith C Madden, Steven J Enoch, Mark Hewitt, et al.
Statistics in Medicine|June 9, 2000
Promoting interactions with basic scientists and clinicians: the NIA Alzheimer's Disease Data Coordinating CenterD Cronin-Stubbs, S T DeKosky, J C Morris, et al.
The International Journal of Artificial Organs|December 11, 2007
A mathematical model comparing solute kinetics in low- and high-BMI hemodialysis patientsD Cronin-Fine, F Gotch, N W Levin, et al.
Alternatives to Laboratory Animals : ATLA|October 29, 2020
A Review of In Silico Tools as Alternatives to Animal Testing: Principles, Resources and ApplicationsJudith C Madden, Steven J Enoch, Alicia Paini, et al.
Computational Toxicology (Amsterdam, Netherlands)|February 28, 2022
A matter of trust: Learning lessons about causality will make qAOPs credibleNicoleta Spînu, Mark T D Cronin, Judith C Madden, et al.
International Journal of Molecular Sciences|March 25, 2022
Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) NeurotoxicityDomenico Gadaleta, Nicoleta Spînu, Alessandra Roncaglioni, et al.
SAR and QSAR in Environmental Research|August 12, 2011
Repeatability analysis of the Tetrahymena pyriformis population growth impairment assayM Hewitt, M T D Cronin, P H Rowe, et al.
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