Predicting nanotoxicity by an integrated machine learning and metabolomics approach

NanoSolveIT Project: Driving Nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment

(2020) Antreas Afantitis et al.   Computational and Structural Biotechnology Journal

The importance of synthetic chemistry in the pharmaceutical industry

(2019) Kevin R. Campos et al.   SCIENCE

Nanowire Length, Density, and Crystalline Quality Retrieved from a Single Optical Spectrum

(2019) Mazen Erfan et al.   NANO LETTERS

Metabolomic method to detect a metabolite corona on amino-functionalized polystyrene nanoparticles

(2019) Konstantinos Grintzalis et al.   Nanotoxicology

Optical Nanosensing of Lipid Accumulation due to Enzyme Inhibition in Live Cells

(2019) Vesna Živanović et al.   ACS Nano

Comparison of support vector machine, back propagation neural network and extreme learning machine for syndrome element differentiation

(2019) Enliang Yan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Importance of Choosing Relevant Biological End Points To Predict Nanoparticle Toxicity with Computational Approaches for Human Health Risk Assessment

(2019) Valérie Forest et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Augmented reality microscopes for cancer histopathology

(2019) Narges Razavian   NATURE MEDICINE

Interpretable deep learning for guided microstructure-property explorations in photovoltaics

(2019) Balaji Sesha Sarath Pokuri et al.   npj Computational Materials

Regulation of Cell Uptake and Cytotoxicity by Nanoparticle Core under the Controlled Shape, Size, and Surface Chemistries

(2019) Xue Bai et al.   ACS Nano

Affinity and class probability-based fuzzy support vector machine for imbalanced data sets

(2019) Xinmin Tao et al.   NEURAL NETWORKS

Application of a Deep Neural Network to Metabolomics Studies and Its Performance in Determining Important Variables

(2018) Yasuhiro Date et al.   ANALYTICAL CHEMISTRY

The revival of the Gini importance?

(2018) Stefano Nembrini et al.   BIOINFORMATICS

Short-Term Fasting Reveals Amino Acid Metabolism as a Major Sex-Discriminating Factor in the Liver

(2018) Sara Della Torre et al.   Cell Metabolism

Plant Response to Metal-Containing Engineered Nanomaterials: An Omics-Based Perspective

(2018) Roberta Ruotolo et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Combination of Classifiers With Optimal Weight Based on Evidential Reasoning

(2018) Zhun-Ga Liu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Developmental basis for intestinal barrier against the toxicity of graphene oxide

(2018) Mingxia Ren et al.   Particle and Fibre Toxicology

Screening Priority Factors Determining and Predicting the Reproductive Toxicity of Various Nanoparticles

(2018) Zhan Ban et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Feature selection based on artificial bee colony and gradient boosting decision tree

(2018) Haidi Rao et al.   APPLIED SOFT COMPUTING

Short-term association between ambient air pollution and pneumonia in children: A systematic review and meta-analysis of time-series and case-crossover studies

(2017) Nguyen Thi Trang Nhung et al.   ENVIRONMENTAL POLLUTION

Bifenthrin Causes Toxicity in Urban Stormwater Wetlands: Field and Laboratory Assessment Using Austrochiltonia (Amphipoda)

(2017) Katherine J. Jeppe et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

From the Cover: Metabolism Modulation in Different Organs by Silver Nanoparticles: An NMR Metabolomics Study of a Mouse Model

(2017) Ivana Jarak et al.   TOXICOLOGICAL SCIENCES

Spatial prediction of soil surface texture in a semiarid region using random forest and multiple linear regressions

(2016) César da Silva Chagas et al.   CATENA

Effects of Moderate and Subsequent Progressive Weight Loss on Metabolic Function and Adipose Tissue Biology in Humans with Obesity

(2016) Faidon Magkos et al.   Cell Metabolism

Knowledge gaps between nanotoxicological research and nanomaterial safety

(2016) Xiangang Hu et al.   ENVIRONMENT INTERNATIONAL

Understanding the Roles of the “Two QSARs”

(2016) Toshio Fujita et al.   Journal of Chemical Information and Modeling

Revealing disease-associated pathways by network integration of untargeted metabolomics

(2016) Leila Pirhaji et al.   NATURE METHODS

Meta-analysis of cellular toxicity for cadmium-containing quantum dots

(2016) Eunkeu Oh et al.   Nature Nanotechnology

KEGG: new perspectives on genomes, pathways, diseases and drugs

(2016) Minoru Kanehisa et al.   NUCLEIC ACIDS RESEARCH

Metal-Based Nanotoxicity and Detoxification Pathways in Higher Plants

(2015) Chuanxin Ma et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Prediction of nanoparticles-cell association based on corona proteins and physicochemical properties

(2015) Rong Liu et al.   Nanoscale

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

MetaboAnalyst 3.0—making metabolomics more meaningful

(2015) Jianguo Xia et al.   NUCLEIC ACIDS RESEARCH

On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping

(2015) Koreen Millard et al.   Remote Sensing

Physical−Chemical Aspects of Protein Corona: Relevance toin Vitroandin VivoBiological Impacts of Nanoparticles

(2011) Marco P. Monopoli et al.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

(2011) Tomasz Puzyn et al.   Nature Nanotechnology

Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst

(2011) Jianguo Xia et al.   Nature Protocols

Toxicity of Graphene and Graphene Oxide Nanowalls Against Bacteria

(2010) Omid Akhavan et al.   ACS Nano