Applying deep learning to biomedical images has the potential to enable earlier and more accurate disease detection, allow more precisely tailored treatment plans, and ultimately improve patient outcomes.
From hardened software to scientific productivity, the NCBCs have changed the landscape for biomedical computing. What will happen when their funding expires?
Early evidence suggests a mixed picture
Disentangling the different types of skeptics and what modelers can learn from each.
About this issue of Biomedical Computation Review
Systematic vaccine design offers hope of vaccines to prevent HIV or treat cancer
Capturing meaning in functional MRI
Harnessing the power of our fascination with mobile devices