State-of-the-art approaches are a boon to biomedicine
Disentangling the different types of skeptics and what modelers can learn from each.
Connectivity Map helps connect drugs and diseases
Modeling tumors' diversity
Molecular dynamics simulations spot alternative drug target
How some tools are already impacting patients
Computers and human experts duke it out over who is better at diagnosing disease, interpreting images, or predicting protein structure
Advances in computational modeling of viral epidemics and viruses themselves produce some speedy results
Can the complexities of biology be boiled down to Amazon.com-style recommendations? The examples here suggest possible pathways to an intelligent healthcare system with big data at its core.
From hardened software to scientific productivity, the NCBCs have changed the landscape for biomedical computing. What will happen when their funding expires?