For precision medicine to realize its potential, research must become ultraefficient. We have the computing power today to quickly discover new disease biomarkers and insights, but we still need enormous volumes of patient population data to analyze. And we need that new data faster. The most important portion of this data comes directly from human biospecimens.
In addition to volume of specimen data, we need specificity. Researchers shouldn’t have to adjust their research to whatever specimens are available; supply needs to fit the research.
With this in mind, biobanking needs to become far more agile, first finding a way to intelligently detect the research community’s need for particular biospecimens from particular patients and, secondly, to collect and deliver on demand the exact specimens and data needed. The process needs to be data-driven, systematically asking, “What specimens do precision researchers need?”
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