Drug repurposing or repositioning is a technique whereby existing drugs are used to treat
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …

By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …

Integrating neurons into digital systems may enable performance infeasible with silicon
alone. Here, we develop DishBrain, a system that harnesses the inherent adaptive …

Enzyme engineering plays a central role in developing efficient biocatalysts for
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …

Deep learning has been applied to many areas in health care, including imaging diagnosis,
digital pathology, prediction of hospital admission, drug design, classification of cancer and …

Most drugs entering clinical trials fail, often related to an incomplete understanding of the
mechanisms governing drug response. Machine learning techniques hold immense promise …

Artificial intelligence for graphs has achieved remarkable success in modelling complex
systems, ranging from dynamic networks in biology to interacting particle systems in physics …

For over a decade the term “Big data” has been used to describe the rapid increase in
volume, variety and velocity of information available, not just in medical research but in …

Cancer metastasis is no longer viewed as a linear cascade of events but rather as a series
of concurrent, partially overlapping processes, as successfully metastasizing cells assume …

Enzyme catalysis has been attracting increasing interest in the past twenty years.
Nevertheless, most reports concerning enzyme catalysis have been carried out using single …