http://biomedicalcomputationreview.org/content/big-data-analytics-biomedical-researchThis is a well written and perceptive review, touching on some key limitations and intriguing possibilities regarding the current state of Biomedical Computation and Big Data. Here are two snippets to whet your appetite!
“The bottom line is,” says Eric Perakslis, PhD, chief information
officer at the U.S. Food and Drug Administration, “the large body of
healthcare data out there has yet to be truly enhanced with molecular
pathology. And without that you’re really not getting at mechanisms of
action or predictive biology.” Where there is data, he says, “It’s
almost this random thing: Molecular data is collected at a few time
points but that’s it.”
“If you ask me why we’re doing this,” Hill says, “it’s because it’s
going to cure cancer and other diseases and there’s no other way to do
it than by using big data analytics…. If you do discovery the way it’s
been done until now, it just doesn’t cut it.”
I also like the idea of "hypothesis free" analysis and REFS (Reverse Engineered Forward Simulation). Enjoy!