Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

This comprehensive review explores the emerging landscape of Nano-QSAR (quantitative
structure–activity relationship) for assessing the risk and potency of nanomaterials in …

Abstract Machine learning (ML) and deep learning (DL) possess excellent advantages in
data analysis (eg, feature extraction, clustering, classification, regression, image recognition …

The increasing exploitation of graphene‐based materials (GBMs) is driven by their unique
properties and structures, which ignite the imagination of scientists and engineers. At the …

Millions of experimental animals are widely used in the assessment of toxicological or
biological effects of manufactured nanomaterials in medical technology. However, the …

The emergence of nanotechnology as a key enabling technology over the past years has
opened avenues for new and innovative applications in nanomedicine. From the business …

Robotics and automation provide potentially paradigm shifting improvements in the way
materials are synthesized and characterized, generating large, complex data sets that are …

Nanomedicine is a rapidly growing field that uses nanomaterials for the diagnosis, treatment
and prevention of various diseases, including cancer. Various biocompatible nanoplatforms …

Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …

Over the past few decades, data-driven machine learning (ML) has distinguished itself from
hypothesis-driven studies and has recently received much attention in environmental …