Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …

Prediction of chemical bioactivity and physical properties has been one of the most
important applications of statistical and more recently, machine learning and artificial …

Alzheimer's disease has a higher incidence in older women, with a spike in cognitive
decline that tracks with visceral adiposity, dysregulated energy homeostasis and bone loss …

Knowledge gained from observational cohort studies has dramatically advanced the
prevention and treatment of diseases. Many of these cohorts, however, are small, lack …

Abstract Systems biology has experienced dramatic growth in the number, size, and
complexity of computational models. To reproduce simulation results and reuse models …

Context-dependent biological variation presents a unique challenge to the reproducibility of
results in experimental animal research, because organisms' responses to experimental …

The steep rise of type 2 diabetes mellitus (T2DM) and associated complications go along
with mounting evidence of clinically important sex and gender differences. T2DM is more …

A little over 5 years ago, the US National Institutes of Health (NIH) announced the intention
to develop policies to require applicants to report plans to balance male and female cells …

Animal experimentation helps us to understand human biology. Rodents and, in particular,
rats are among the most common animals used in animal experiments. Reporting data on …

Functional neuroimaging techniques have transformed our ability to probe the
neurobiological basis of behaviour and are increasingly being applied by the wider …