Machine Learning‐Derived Neural Signatures of Itch and Pain That Reliably Distinguish the Two Sensations in Humans: A Proof‐Of‐Concept Study
- DOI
- 10.1002/ejp.70328
- Published
- 2026-07
- Container
- European Journal of Pain
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/ejp.70328,
title = {Machine Learning‐Derived Neural Signatures of Itch and Pain That Reliably Distinguish the Two Sensations in Humans: A Proof‐Of‐Concept Study},
author = {Hideki Mochizuki and Elly Georgas and Odelia Schwartz and Gil Yosipovitch},
year = {2026},
journal = {European Journal of Pain},
doi = {10.1002/ejp.70328},
url = {https://doi.org/10.1002/ejp.70328}
}RIS
TY - JOUR TI - Machine Learning‐Derived Neural Signatures of Itch and Pain That Reliably Distinguish the Two Sensations in Humans: A Proof‐Of‐Concept Study AU - Hideki Mochizuki AU - Elly Georgas AU - Odelia Schwartz AU - Gil Yosipovitch PY - 2026 JO - European Journal of Pain DO - 10.1002/ejp.70328 UR - https://doi.org/10.1002/ejp.70328 ER -
APA
Mochizuki, H., Georgas, E., Schwartz, O., & Yosipovitch, G. (2026). Machine Learning‐Derived Neural Signatures of Itch and Pain That Reliably Distinguish the Two Sensations in Humans: A Proof‐Of‐Concept Study. European Journal of Pain. https://doi.org/10.1002/ejp.70328
Source records
- crossref · retrieved 2026-09-24T21:40:04.050Z