Electrophysiological biomarkers for foundational signal markers in chronic pancreatitis using machine learning models.
- DOI
- 10.3389/fpain.2026.1857591
- Published
- 2026
- Container
- Frontiers in pain research (Lausanne, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fpain.2026.1857591,
title = {Electrophysiological biomarkers for foundational signal markers in chronic pancreatitis using machine learning models.},
author = {Nedergaard RB and Niazi IK and Rojas F and Ghani U and Dugic A and Phillips AE and Faghih M and Unnisa M and Hagn-Meincke R and Hajnády Z and Yadav D and de-Madaria E and Hegyi P and Garg P and Talukdar R and Olesen SS and Farheen S and Jagannath S and Singh V and Drewes AM},
year = {2026},
journal = {Frontiers in pain research (Lausanne, Switzerland)},
doi = {10.3389/fpain.2026.1857591},
url = {https://doi.org/10.3389/fpain.2026.1857591}
}RIS
TY - JOUR TI - Electrophysiological biomarkers for foundational signal markers in chronic pancreatitis using machine learning models. AU - Nedergaard RB AU - Niazi IK AU - Rojas F AU - Ghani U AU - Dugic A AU - Phillips AE AU - Faghih M AU - Unnisa M AU - Hagn-Meincke R AU - Hajnády Z AU - Yadav D AU - de-Madaria E AU - Hegyi P AU - Garg P AU - Talukdar R AU - Olesen SS AU - Farheen S AU - Jagannath S AU - Singh V AU - Drewes AM PY - 2026 JO - Frontiers in pain research (Lausanne, Switzerland) DO - 10.3389/fpain.2026.1857591 UR - https://doi.org/10.3389/fpain.2026.1857591 ER -
APA
RB, N., IK, N., F, R., U, G., A, D., AE, P., M, F., M, U., R, H., Z, H., D, Y., E, D., P, H., P, G., R, T., SS, O., S, F., S, J., V, S., & AM, D. (2026). Electrophysiological biomarkers for foundational signal markers in chronic pancreatitis using machine learning models.. Frontiers in pain research (Lausanne, Switzerland). https://doi.org/10.3389/fpain.2026.1857591
Source records
- pubmed · retrieved 2026-09-25T07:28:15.897Z