Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-09-26
Biography and Research Information
OverviewAI-generated summary
Cade Wilkerson's research focuses on leveraging voice biomarkers to quantify chronic pain. Their work includes a 2026 rapid review examining the efficacy of this approach. Wilkerson collaborates with Leah Tobey-Moore and Caraline Annichiarico, both from the University of Arkansas for Medical Sciences, with whom they have co-authored one publication each.
Metrics
- Publications: 2
Selected Publications
-
Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation (2026)
-
Leveraging voice biomarkers to quantify chronic pain: a rapid review (2026)
Collaboration Network
Top Collaborators
Anu Iyer
Georgia Institute of Technology (US)
2 shared publications
- Leveraging voice biomarkers to quantify chronic pain: a rapid review
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
Leah Tobey-Moore
University of Arkansas for Medical Sciences
1 shared publication
In database
- Leveraging voice biomarkers to quantify chronic pain: a rapid review
Caraline Annichiarico
University of Arkansas for Medical Sciences
1 shared publication
In database
- Leveraging voice biomarkers to quantify chronic pain: a rapid review
Leah Tobey-Moore
University of Arkansas for Medical Sciences
1 shared publication
In database
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
Aaron Kemp
University of Arkansas for Medical Sciences
1 shared publication
In database
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
Yasir Rahmatallah
University of Arkansas for Medical Sciences
1 shared publication
In database
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
Efrata Ashuro Shegena
University of Arkansas for Medical Sciences
1 shared publication
In database
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
Erika Petersen
University of Arkansas for Medical Sciences
1 shared publication
In database
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
Johnathan H. Goree
University of Arkansas for Medical Sciences
1 shared publication
In database
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
Jarna Shah
Saint Louis University
1 shared publication
In database
- Quantifying pain in persistent spinal pain syndrome: a pilot protocol using spectrogram analysis and PROMIS score correlation
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