Nanotechnology and artificial intelligence to enable sustainable and precision agriculture

P Zhang, Z Guo, S Ullah, G Melagraki, A Afantitis… - Nature Plants, 2021 - nature.com
Climate change, increasing populations, competing demands on land for production of
biofuels and declining soil quality are challenging global food security. Finding sustainable …

QSAR without borders

EN Muratov, J Bajorath, RP Sheridan… - Chemical Society …, 2020 - pubs.rsc.org
Prediction of chemical bioactivity and physical properties has been one of the most
important applications of statistical and more recently, machine learning and artificial …

Recent advances in nanomaterials for water protection and monitoring

R Das, CD Vecitis, A Schulze, B Cao… - Chemical Society …, 2017 - pubs.rsc.org
The efficient handling of wastewater pollutants is a must, since they are continuously defiling
limited fresh water resources, seriously affecting the terrestrial, aquatic, and aerial flora and …

[HTML][HTML] NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment

A Afantitis, G Melagraki, P Isigonis, A Tsoumanis… - Computational and …, 2020 - Elsevier
Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting
unique physicochemical (PChem) properties compared to their bulk analogues. These …

Practices and trends of machine learning application in nanotoxicology

I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland - Nanomaterials, 2020 - mdpi.com
Machine Learning (ML) techniques have been applied in the field of nanotoxicology with
very encouraging results. Adverse effects of nanoforms are affected by multiple features …

The toxic truth about carbon nanotubes in water purification: a perspective view

R Das, BF Leo, F Murphy - Nanoscale research letters, 2018 - Springer
Without nanosafety guidelines, the long-term sustainability of carbon nanotubes (CNTs) for
water purifications is questionable. Current risk measurements of CNTs are overshadowed …

[HTML][HTML] Impact of drivers of change, including climatic factors, on the occurrence of chemical food safety hazards in fruits and vegetables: A Bayesian Network …

Y Bouzembrak, HJP Marvin - Food control, 2019 - Elsevier
The presence and development of many food safety risks are driven by factors within and
outside the food supply chain, such as climate, economy and human behaviour. The …

Nanotoxicology data for in silico tools: a literature review

I Furxhi, F Murphy, M Mullins, A Arvanitis… - Nanotoxicology, 2020 - Taylor & Francis
The exercise of non-testing approaches in nanoparticles (NPs) hazard assessment is
necessary for the risk assessment, considering cost and time efficiency, to identify, assess …

Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index

I Furxhi, F Murphy, M Mullins, CA Poland - Toxicology letters, 2019 - Elsevier
Abstract Nano-Particles (NPs) are well established as important components across a broad
range of products from cosmetics to electronics. Their utilization is increasing with their …

Data-driven quantitative intrinsic hazard criteria for nanoproduct development in a safe-by-design paradigm: a case study of silver nanoforms

I Furxhi, R Bengalli, G Motta, P Mantecca… - ACS Applied Nano …, 2023 - ACS Publications
The current European (EU) policies, that is, the Green Deal, envisage safe and sustainable
practices for chemicals, which include nanoforms (NFs), at the earliest stages of innovation …