Public databases impact not only how research is done but what kind of research is done in the first place.
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.
Getting cheap, reliable help from lay workers
Avi Ma'ayan hopes for improvements in the evaluation of biomedical academic software development projects
As barriers to massive imaging collections fall, researchers can look at human systems in their entirety rather than in pieces
Resolving conflicts among databases
It's an exhilarating time for genome-wide association studies
A prototype for integrated datasets
An exploration of data-driven and process-driven approaches to data privacy
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