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
Computational modeling can help fill gaps in how we develop and review new drugs and devices
How errors in data, software, and methodology can teach us how to do better
A recognition of biocomputing's successes and a prediction of what's to come
What do game developers bring to the table?
State-of-the-art approaches are a boon to biomedicine
Disentangling the different types of skeptics and what modelers can learn from each.