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 heterogeneity of engineered nanomaterials (NMs), with respect to physicochemical
properties and observed (eco) toxicological effects, makes their case-by-case testing for …

Presence of missing data points in datasets is among main challenges in handling the
toxicological data for nanomaterials. As the processing of missing data is an important part …

Although nanotechnology is a new and rapidly growing area of science, the impact of
nanomaterials on living organisms is unknown in many aspects. In this regard, it is extremely …

Application of predictive modeling approaches can solve the problem of missing data.
Numerous studies have investigated the effects of missing values on qualitative or …

The number of engineered nanomaterials (ENMs) being exploited commercially is growing
rapidly, due to the novel properties they exhibit. Clearly, it is important to understand and …

Surface modified TiO2-based nanoparticles (the so-called second generation nanoparticles)
have unique semiconducting properties. They act as efficient photocatalysts, demonstrating …

As listed by the European Chemicals Agency, the three elements in evaluating the hazards
of engineered nanomaterials (ENMs) include the integration and evaluation of toxicity data …

As the application of nanotechnology in the myriad disciplines of science and engineering--
from agriculture, pharmaceuticals, material science, and biotechnology to sensors …

The quantitative relationships between the activity of zebrafish ZHE1 enzyme and a series of
experimental and physicochemical features of 24 metal oxide nanoparticles were revealed …