Developing a Wearable Sensor-Based Digital Biomarker of Opioid Dependence
Wearable sensor-derived digital biomarkers can be used to predict opioid use status (naïve versus chronic) and the differentiating features may be detecting opioid dependence. Future work should be aimed at further delineating the phenomenon identified in these models (including opioid dependence and/or withdrawal) and at identifying transition states where an individual changes from 1 profile to another with repetitive opioid exposure.
Authors
- Pravitha Ramanand
- Stephanie Carreiro
- Waseem Akram (ORCID: https://orcid.org/0009-0007-4960-8673)
- Premananda Indic
- Brittany Chapman (ORCID: https://orcid.org/0000-0001-5761-5135)
- David Smelson (ORCID: https://orcid.org/0000-0001-9161-9818)
- Joshua Stapp (ORCID: https://orcid.org/0000-0002-5425-8985)
Institutions
- University of Massachusetts Chan Medical School (US)
- The University of Texas at Tyler (US)
Publication Details
- Journal
- Anesthesia & Analgesia
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1213/ane.0000000000007244
- Citations
- 2
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.54
Funders
- National Institutes of Health