Good data is more important than big data in developing digital biomarkers. Big data is often sold as the solution to all digital data analyses and is touted to revolutionize healthcare in the coming years. However, the problem with a superabundance of data is that digital biomarker development becomes a fishing expedition, and the catch may not be relevant to the question. Without a hypothesis (often the case in biomarker development with big data), accurate results may be too low to use in a clinical trial or, even worse, divergent with no findings.
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