Data-Driven Quantitative Intrinsic Hazard Criteria for Nanoproduct Development in a Safe-by-Design Paradigm: A Case Study of Silver Nanoforms
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Data-Driven Quantitative Intrinsic Hazard Criteria for Nanoproduct Development in a Safe-by-Design Paradigm: A Case Study of Silver Nanoforms
Authors
Keywords
-
Journal
ACS Applied Nano Materials
Volume 6, Issue 5, Pages 3948-3962
Publisher
American Chemical Society (ACS)
Online
2023-02-17
DOI
10.1021/acsanm.3c00173
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- ASINA Project: Towards a Methodological Data-Driven Sustainable and Safe-by-Design Approach for the Development of Nanomaterials
- (2022) Irini Furxhi et al. Frontiers in Bioengineering and Biotechnology
- Interpretable machine learning: Fundamental principles and 10 grand challenges
- (2022) Cynthia Rudin et al. Statistics Surveys
- The Road to Achieving the European Commission's Chemicals Strategy for Nanomaterial Sustainability—A PATROLS Perspective on New Approach Methodologies
- (2022) Shareen H. Doak et al. Small
- Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment
- (2022) Valérie Forest Nanomaterials
- Comparative Study on Nanotoxicity in Human Primary and Cancer Cells
- (2022) In Young Kim et al. Nanomaterials
- Changes of physico-chemical properties of nano-biomaterials by digestion fluids affect the physiological properties of epithelial intestinal cells and barrier models
- (2022) Giulia Antonello et al. Particle and Fibre Toxicology
- Application of a new approach method (NAM) for inhalation risk assessment
- (2022) Tharacad Ramanarayanan et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Representing and describing nanomaterials in predictive nanoinformatics
- (2022) Ewelina Wyrzykowska et al. Nature Nanotechnology
- PyBNesian: An extensible python package for Bayesian networks
- (2022) David Atienza et al. NEUROCOMPUTING
- European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials
- (2022) Jeaphianne van Rijn et al. Journal of Cheminformatics
- Towards safe and sustainable innovation in nanotechnology: State-of-play for smart nanomaterials
- (2021) Stefania Gottardo et al. NanoImpact
- Towards FAIR nanosafety data
- (2021) Nina Jeliazkova et al. Nature Nanotechnology
- Data Shepherding in Nanotechnology. The Initiation
- (2021) Irini Furxhi et al. Nanomaterials
- Data Shepherding in Nanotechnology. The Exposure Field Campaign Template
- (2021) Irini Furxhi et al. Nanomaterials
- A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles
- (2021) Mahsa Mirzaei et al. Nanomaterials
- Advanced methods for missing values imputation based on similarity learning
- (2021) Khaled M. Fouad et al. PeerJ Computer Science
- Explanation of machine learning models using shapley additive explanation and application for real data in hospital
- (2021) Yasunobu Nohara et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Safe- and sustainable-by-design: The case of Smart Nanomaterials. A perspective based on a European workshop
- (2021) Agnieszka Mech et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- A Supervised Machine-Learning Prediction of Textile’s Antimicrobial Capacity Coated with Nanomaterials
- (2021) Mahsa Mirzaei et al. Coatings
- Data Shepherding in Nanotechnology: An Antimicrobial Functionality Data Capture Template
- (2021) Irini Furxhi et al. Coatings
- Health and environmental safety of nanomaterials: O Data, Where Art Thou?
- (2021) Irini Furxhi NanoImpact
- Evaluation of the Genotoxic and Oxidative Damage Potential of Silver Nanoparticles in Human NCM460 and HCT116 Cells
- (2020) Mingxi Jia et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Nanotoxicology data for in silico tools: a literature review
- (2020) Irini Furxhi et al. Nanotoxicology
- Practices and Trends of Machine Learning Application in Nanotoxicology
- (2020) Irini Furxhi et al. Nanomaterials
- The Food Matrix and the Gastrointestinal Fluids Alter the Features of Silver Nanoparticles
- (2020) Laurie Laloux et al. Small
- Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data
- (2020) Anastasios G. Papadiamantis et al. Nanomaterials
- The single-cell transcriptional landscape of mammalian organogenesis
- (2019) Junyue Cao et al. NATURE
- Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics
- (2019) Irini Furxhi et al. Nanotoxicology
- Bayesian Network Resource for Meta-Analysis: Cellular Toxicity of Quantum Dots
- (2019) Muhammad Bilal et al. Small
- Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index
- (2019) Irini Furxhi et al. TOXICOLOGY LETTERS
- Low-density polyethylene films incorporated with silver nanoparticles to promote antimicrobial efficiency in food packaging
- (2019) Sabrina da Costa Brito et al. FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL
- Missing data imputation using decision trees and fuzzy clustering with iterative learning
- (2019) Sanaz Nikfalazar et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Dissolution Behavior And Biodurability Of Ingested Engineered Nanomaterials In The Gastrointestinal Environment
- (2018) Ikjot Singh Sohal et al. ACS Nano
- Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology
- (2018) Tomasz Puzyn et al. FOOD AND CHEMICAL TOXICOLOGY
- Hazard Screening Methods for Nanomaterials: A Comparative Study
- (2018) Barry Sheehan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Physico-chemical properties of manufactured nanomaterials - Characterisation and relevant methods. An outlook based on the OECD Testing Programme
- (2018) Kirsten Rasmussen et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Nano-QSAR modeling for ecosafe design of heterogeneous TiO2-based nano-photocatalysts
- (2018) Alicja Mikolajczyk et al. Environmental Science-Nano
- Silver nanoparticles as a medical device in healthcare settings: a five-step approach for candidate screening of coating agents
- (2018) Valentina Marassi et al. Royal Society Open Science
- An analytical approach for quantifying the influence of nanoparticle polydispersity on cellular delivered dose
- (2018) Stuart T. Johnston et al. Journal of the Royal Society Interface
- Immunotoxicity, genotoxicity and epigenetic toxicity of nanomaterials: New strategies for toxicity testing?
- (2017) Maria Dusinska et al. FOOD AND CHEMICAL TOXICOLOGY
- Overview on biological implications of metal oxide nanoparticle exposure to human alveolar A549 cell line
- (2017) Ansie Martin et al. Nanotoxicology
- Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment
- (2017) Hans J. P. Marvin et al. Nanotoxicology
- A Bayesian Belief Network Model Assessing the Risk to Wastewater Workers of Contracting Ebola Virus Disease During an Outbreak
- (2017) Joseph W. Zabinski et al. RISK ANALYSIS
- Silver nanoparticles: Significance of physicochemical properties and assay interference on the interpretation of in vitro cytotoxicity studies
- (2017) Kausar B. Riaz Ahmed et al. TOXICOLOGY IN VITRO
- Curcumin modified silver nanoparticles for highly efficient inhibition of respiratory syncytial virus infection
- (2016) Xiao Xi Yang et al. Nanoscale
- A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks
- (2016) Finbarr Murphy et al. Nanoscale Research Letters
- A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks
- (2016) Finbarr Murphy et al. Nanoscale Research Letters
- Protein corona-induced modification of silver nanoparticle aggregation in simulated gastric fluid
- (2016) Andrew P. Ault et al. Environmental Science-Nano
- Advancing Dose–Response Assessment Methods for Environmental Regulatory Impact Analysis: A Bayesian Belief Network Approach Applied to Inorganic Arsenic
- (2016) Joseph W. Zabinski et al. Environmental Science & Technology Letters
- Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
- (2015) Benjamin Letham et al. Annals of Applied Statistics
- The oxidative potential of differently charged silver and gold nanoparticles on three human lung epithelial cell types
- (2015) Paul Schlinkert et al. JOURNAL OF NANOBIOTECHNOLOGY
- Nano(Q)SAR: Challenges, pitfalls and perspectives
- (2014) Ratna Tantra et al. Nanotoxicology
- Analytically monitored digestion of silver nanoparticles and their toxicity on human intestinal cells
- (2013) Linda Böhmert et al. Nanotoxicology
- Green and easily scalable microwave synthesis of noble metal nanosols (Au, Ag, Cu, Pd) usable as catalysts
- (2013) M. Blosi et al. NEW JOURNAL OF CHEMISTRY
- Application of an efficient Bayesian discretization method to biomedical data
- (2011) Jonathan L Lustgarten et al. BMC BIOINFORMATICS
- Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
- (2011) Tomasz Puzyn et al. Nature Nanotechnology
- Effects of Cell Culture Media on the Dynamic Formation of Protein−Nanoparticle Complexes and Influence on the Cellular Response
- (2010) Gabriele Maiorano et al. ACS Nano
- Bayesian rule learning for biomedical data mining
- (2010) Vanathi Gopalakrishnan et al. BIOINFORMATICS
- Microwave-assisted polyol synthesis of Cu nanoparticles
- (2010) M. Blosi et al. JOURNAL OF NANOPARTICLE RESEARCH
- Development ofin vitrosystems for nanotoxicology: methodological considerations
- (2009) Vicki Stone et al. CRITICAL REVIEWS IN TOXICOLOGY
- Toward the Development of âNano-QSARsâ: Advances and Challenges
- (2009) Tomasz Puzyn et al. Small
- Assessing nanotoxicity in cells in vitro
- (2009) Jedd M. Hillegass et al. Wiley Interdisciplinary Reviews-Nanomedicine and Nanobiotechnology
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started