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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
Leveraging informatics, mobile health technologies and biobanks to treat each patient right
Bradford R Hirsch1, Amy P Abernethy2
1Center for Learning Health Care, Duke Clinical Research Institute, Duke Cancer Care Research Program, Duke Cancer Institute, Duke University Medical Center, 25165 Morris Building, Box 3436, Durham, NC 27710, USA.
Abstract:
Personalized medicine is the future of clinical care. Many interpret this to mean that advances in genomic medicine will revolutionize care. However, the reality is much more complex, relying on a combination of health technology, patient engagement, genomics, basic sciences and decision-support tools to move the field forward. There are a number of instances in which providers and researchers have already made significant progress toward the goal, yet the advances often occur in isolation and are not widely acknowledged. With appropriate investment, coordination and vision, the present state can be leveraged to change our approach to a given patient within the next few years. Here we demonstrate how currently available informatics, mobile health technology and biobanking solutions can support personalization of care in the near term, and lead to the development of a learning health system.
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