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Title
Role of Artificial Intelligence and Machine Learning in Nanosafety
Authors
Keywords
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Journal
Small
Volume -, Issue -, Pages 2001883
Publisher
Wiley
Online
2020-06-15
DOI
10.1002/smll.202001883
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Note: Only part of the references are listed.- How Corona Formation Impacts Nanomaterials as Drug Carriers
- (2020) Munishwar Nath Gupta et al. MOLECULAR PHARMACEUTICS
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- Information Entropy as a Reliable Measure of Nanoparticle Dispersity
- (2020) Niamh Mac Fhionnlaoich et al. CHEMISTRY OF MATERIALS
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- (2020) Angela Serra et al. Nanomaterials
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- (2019) Pravin Ambure et al. Journal of Chemical Information and Modeling
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- (2019) L Coquelin et al. Materials Research Express
- Supervised Learning and Mass Spectrometry Predicts the in Vivo Fate of Nanomaterials
- (2019) James Lazarovits et al. ACS Nano
- The machine learning revolution in materials?
- (2019) Kristofer G. Reyes et al. MRS BULLETIN
- ilastik: interactive machine learning for (bio)image analysis
- (2019) Stuart Berg et al. NATURE METHODS
- Investigation of iron oxide nanoparticle cytotoxicity in relation to kidney cells: A mathematical modeling of data mining
- (2019) Fatemeh Hataminia et al. TOXICOLOGY IN VITRO
- Machine Learning in Nanoscience: Big Data at Small Scales
- (2019) Keith A. Brown et al. NANO LETTERS
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- (2018) Vasyl Kovalishyn et al. FOOD AND CHEMICAL TOXICOLOGY
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- (2018) Barry Sheehan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Assessing Deep and Shallow Learning Methods for Quantitative Prediction of Acute Chemical Toxicity
- (2018) Ruifeng Liu et al. TOXICOLOGICAL SCIENCES
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- (2018) Matthew R. Findlay et al. Environmental Science-Nano
- Implementation of Safe-by-Design for Nanomaterial Development and Safe Innovation: Why We Need a Comprehensive Approach
- (2018) Annette Kraegeloh et al. Nanomaterials
- Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
- (2018) Rafael Gómez-Bombarelli et al. ACS Central Science
- A nanoinformatics decision support tool for the virtual screening of gold nanoparticle cellular association using protein corona fingerprints
- (2018) Antreas Afantitis et al. Nanotoxicology
- Machine learning methods for research highlight prediction in biomedical effects of nanomaterial application
- (2018) Yinghao Li et al. PATTERN RECOGNITION LETTERS
- What if the number of nanotoxicity data is too small for developing predictive Nano-QSAR models? An alternative read-across based approach for filling data gaps
- (2017) Agnieszka Gajewicz Nanoscale
- Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory
- (2017) Riccardo Concu et al. Nanotoxicology
- Toward a systematic exploration of nano-bio interactions
- (2017) Xue Bai et al. TOXICOLOGY AND APPLIED PHARMACOLOGY
- Safe-by-Design: from Safety to Responsibility
- (2017) Ibo van de Poel et al. NanoEthics
- How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach
- (2017) Natalia Sizochenko et al. Nanoscale
- Nanosafety: Towards Safer Nanoparticles by Design
- (2017) Neus G. Bastús et al. CURRENT MEDICINAL CHEMISTRY
- Discovery and Optimization of Materials Using Evolutionary Approaches
- (2016) Tu C. Le et al. CHEMICAL REVIEWS
- A renaissance of neural networks in drug discovery
- (2016) Igor I. Baskin et al. Expert Opinion on Drug Discovery
- Scanning electron microscopy image representativeness: morphological data on nanoparticles
- (2016) KATARZYNA ODZIOMEK et al. JOURNAL OF MICROSCOPY
- Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR
- (2016) David A. Winkler et al. Molecular Informatics
- Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches
- (2016) Ceyda Oksel et al. Nanotoxicology
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- (2016) Nicole Rusk NATURE METHODS
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- (2016) Tu C. Le et al. Small
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- (2015) Alicja Mikolajczyk et al. CHEMISTRY OF MATERIALS
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- (2015) Frank R. Burden et al. Journal of Chemical Information and Modeling
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- (2015) Denis Fourches et al. Nanotoxicology
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- (2015) Yann LeCun et al. NATURE
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- (2015) Ceyda Oksel et al. Particuology
- Sparse feature selection methods identify unexpected global cellular response to strontium-containing materials
- (2015) Hélène Autefage et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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- (2010) Soyoung Lee et al. TOXICOLOGY AND APPLIED PHARMACOLOGY
- Using chemical categories to fill data gaps in hazard assessment
- (2009) K. van Leeuwen et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Toward the Development of âNano-QSARsâ: Advances and Challenges
- (2009) Tomasz Puzyn et al. Small
- Classification of emergence and its relation to self-organization
- (2008) Julianne. D. Halley et al. COMPLEXITY
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- Microwave Synthesis of CdSe and CdTe Nanocrystals in Nonabsorbing Alkanes
- (2008) Aaron L. Washington II et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Toxicity Data Informatics: Supporting a New Paradigm for Toxicity Prediction
- (2008) Ann M. Richard et al. TOXICOLOGY MECHANISMS AND METHODS
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