As algorithms evolve, computing power explodes, and scientists solve a greater number of 3-D protein structures, computer-aided design has the potential to dramatically cut the cost and time of drug discovery
How errors in data, software, and methodology can teach us how to do better
Computational modeling can help fill gaps in how we develop and review new drugs and devices
A recognition of biocomputing's successes and a prediction of what's to come
Armed with electronic health records and insurance claim information, data scientists are trying to predict who’s going to become addicted to opioids—and stop them before it’s too late.
Network biology is allowing scientists to convert their cellular parts lists into insights about complex diseases
What do game developers bring to the table?