STAT July 31, 2019
Every year, the National Institutes of Health spends billions of dollars for biomedical research, ranging from basic science investigations into cell processes to clinical trials. The results are published in journals, presented in academic meetings, and then — building off of their findings — researchers move on to their next project.
But what happens to the data that’s collected and what more could we learn from it? If we aggregated all the data from countless years of research, might we learn something new about ourselves, the diseases that infect us, and possible treatments?
That’s the hope behind the Biomedical Data Translator program, launched by the NIH in 2016: to create a “Google” for biomedical data that could sift through hundreds...
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