Traditional methods of discovering new materials, such as the empirical trial and error
method and the density functional theory (DFT)‐based method, are unable to keep pace …

Over the past 20 years, and particularly in the last decade, significant developmental
milestones have driven basic, translational, and clinical advances in the field of stem cell …

Due to the massive data sets available for drug candidates, modern drug discovery has
advanced to the big data era. Central to this shift is the development of artificial intelligence …

Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …

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 …

Using quantitative models to predict the biological interactions of nanoparticles will
accelerate the translation of nanotechnology. Here, we characterized the serum protein …

Nanomaterials have much to offer, not only in deciphering innate immune cell biology and
tracking cells, but also in advancing personalized clinical care by providing diagnostic and …

The technology of drug delivery systems (DDSs) has demonstrated an outstanding
performance and effectiveness in production of pharmaceuticals, as it is proved by many …

Over the last decade, increasing interest has been attracted towards the application of
artificial intelligence (AI) technology for analyzing and interpreting the biological or genetic …

Recent advances in machine learning (ML) offer new tools to extract new insights from large
data sets and to acquire small data sets more effectively. Researchers in nanoscience are …