The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

Drug evaluation has always been an important area of research in the pharmaceutical
industry. However, animal welfare protection and other shortcomings of traditional drug …

Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …

Rapid antimicrobial susceptibility testing (AST) is an integral tool to mitigate the unnecessary
use of powerful and broad-spectrum antibiotics that leads to the proliferation of multi-drug …

The last few decades have witnessed diversified in vitro models to recapitulate the
architecture and function of living organs or tissues and contribute immensely to advances in …

Over the past six decades the inflation-adjusted cost to bring a new drug to market has been
increasing constantly and doubles every 9 years–now reaching in excess of $2.5 billion …

Artificial intelligence-based drug discovery has gained attention lately since it drastically cuts
the time and money needed to produce new treatments. In recent years, a vast quantity of …

Traditional machine learning methods used to detect the side effects of drugs pose
significant challenges as feature engineering processes are labor-intensive, expert …

To convey neural network architectures in publications, appropriate visualizations are of
great importance. While most current deep learning papers contain such visualizations …

Predicting the response of cancer cell lines to specific drugs is one of the central problems in
personalized medicine, where the cell lines show diverse characteristics. Researchers have …