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Translation of Digital Health Technologies to Advance Precision Medicine: Informing Regulatory Science
Joan E Adamo1, Robert V Bienvenu Ii2, Felipe Dolz3
1Clinical and Translational Science Institute, University of Rochester Medical Center, Biomedical Engineering Department, Rochester, New York, USA.
Abstract:
The proliferation of digital technologies and the application of sophisticated data analysis techniques are increasingly viewed as having the potential to transform translational research and precision medicine. While digital technologies are rapidly applied in innovative ways to develop new diagnostics and therapies, the ultimate approval and adoption of these emerging methods presents several scientific and regulatory challenges. To better understand and address these regulatory science gaps, a working group of the Clinical and Translational Science Awards Program convened the Regulatory Science to Advance Precision Medicine Forum focused on digital health, particularly examining gaps in the use, validation, and interpretation of data from sensors that collect and tools that analyze digital biomarkers. The key findings and recommendations provided here emerged from the Forum and include the need to enhance areas related to data standards, data quality and validity, knowledge management, and building trust between all stakeholders.
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