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Nanomaterials (Basel, Switzerland)|August 7, 2021
A Machine Learning Tool to Predict the Antibacterial Capacity of NanoparticlesMahsa Mirzaei, Irini Furxhi, Finbarr Murphy, et al.International Journal of Molecular Sciences|February 11, 2023
Employing Supervised Algorithms for the Prediction of Nanomaterial's Antioxidant EfficiencyMahsa Mirzaei, Irini Furxhi, Finbarr Murphy, et al.Toxicology Letters|May 19, 2019
Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland IndexIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.Nanotoxicology|February 27, 2020
Nanotoxicology data for in silico tools: a literature reviewIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.Nanomaterials (Basel, Switzerland)|January 16, 2020
Practices and Trends of Machine Learning Application in NanotoxicologyIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.International Journal of Molecular Sciences|July 30, 2020
Predicting In Vitro Neurotoxicity Induced by Nanoparticles Using Machine LearningIrini Furxhi, Finbarr MurphyRSC Advances|April 15, 2022
The risk perception of nanotechnology: evidence from twitterFinbarr Murphy, Ainaz Alavi, Martin Mullins, et al.Nanotoxicology|May 30, 2019
Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomicsIrini Furxhi, Finbarr Murphy, Craig A Poland, et al.Nanomaterials (Basel, Switzerland)|May 28, 2020
Reduction of Health Care-Associated Infections (HAIs) with Antimicrobial Inorganic Nanoparticles Incorporated in Medical Textiles: An Economic AssessmentFinbarr Murphy, Anat Tchetchik, Irini FurxhiInternational Journal of Molecular Sciences|March 3, 2018
Hazard Screening Methods for Nanomaterials: A Comparative StudyBarry Sheehan, Finbarr Murphy, Martin Mullins, et al.Pageof 6