There is growing recognition that epigenetics may be just as important as genetics in human health and disease.
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.
Cost-effectiveness studies yield answers to the complex question of whether clinical genomics testing has value.
Systematic vaccine design offers hope of vaccines to prevent HIV or treat cancer
How errors in data, software, and methodology can teach us how to do better
Connectivity Map helps connect drugs and diseases
Pursuing the frontiers of systems biology in an interdisciplinary, non-academic enviroment
Computers and human experts duke it out over who is better at diagnosing disease, interpreting images, or predicting protein structure
Using computational models, researchers are gaining traction toward understanding what makes a stem cell a stem cell; how gene expression drives stem cell differentiation; why studying stem cell heterogeneity is important; and, ultimately, how stem cells control their fate.