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Audie A. Atienza on Muck Rack

Audie A. Atienza

As seen in: Nature
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Articles

A framework for selecting, validating, and optimizing DHT-derived measures in clinical research

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By David Zahavi, Audie A. Atienza, Caitlin Bailey, Adam C. Berger, Yuxia Cui, Michael G. Espey, Orlando Lopez, James McClain, Dana L. Wolff-Hughes, Christopher M. Hartshorn, Pablo Cure, Nicole Dickerman, Josh Fessel, Caroline Hagedorn, Thomas Radman, Carol Shreffler
| Nature Verified
Abstract Digital health technologies (DHTs) enable continuous and remote measurement in clinical research, but DHT-derived measures require evidence of accuracy, usability, generalizability, and regulatory suitability. Without structured guidance, studies risk generating data that are technically sophisticated but clinically ambiguous and difficult to reproduce.
Open in Who Shared View Duplicates (2) Issue with article?

Developing international open science collaborations: Funder reflections on the Open Science Prize

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By Elizabeth Kittrie, Robert Kiley, Wellcome Trust, Audie A. Atienza
| PLOS
The Open Science Prize was established with the following objectives: first, to encourage the crowdsourcing of open data to make breakthroughs that are of biomedical significance; second, to illustrate that funders can indeed work together when scientific interests are aligned; and finally, to encourage international collaboration between investigators with the intent of achieving important innovations that would not be possible otherwise.
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