Novel In vitro and In vivo Methods in Nano Toxicological Assessments

Abstract

Nanotechnology structures are particles with a diameter of 1 to 100 nm in at least one dimension. Nanoparticles are made from a variety of soluble and insoluble materials. The nanotechnology market is expected to expand at a rate of around 17.5 percent per year between 2016 and 2022. New nanomaterials that have been thoroughly characterized are becoming increasingly important in biomedical applications. There's a lot of evidence that nanomaterials do not just communicate with cells passively; they also interact with them actively. For the estimation of toxic endpoints, machine learning (ML) methods and algorithms are commonly used. The ML tools in Nano toxicology enable the combination of a number of knowledge sources containing physicochemical properties and outcomes of in vivo and in vitro toxicity experiments. The goal of this review was to highlight current achievements and point out new methods of evaluation in the field of predicting Nano toxicology.

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