Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden.

Zelovich T, Zelovich A, Feiglin S, Klaitman-Mayer V, Elhadad N, Rubinstein R, Endevelt R, Akiva P, Bivas-Benita M, Yanover C

Open source

DOI: 10.1038/s41746-026-02965-z
Published: 2026 Jul 17
Container: NPJ digital medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41746-026-02965-z,
  title = {Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden.},
  author = {Zelovich T and Zelovich A and Feiglin S and Klaitman-Mayer V and Elhadad N and Rubinstein R and Endevelt R and Akiva P and Bivas-Benita M and Yanover C},
  year = {2026},
  journal = {NPJ digital medicine},
  doi = {10.1038/s41746-026-02965-z},
  url = {https://doi.org/10.1038/s41746-026-02965-z}
}

RIS

TY  - JOUR
TI  - Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden.
AU  - Zelovich T
AU  - Zelovich A
AU  - Feiglin S
AU  - Klaitman-Mayer V
AU  - Elhadad N
AU  - Rubinstein R
AU  - Endevelt R
AU  - Akiva P
AU  - Bivas-Benita M
AU  - Yanover C
PY  - 2026
JO  - NPJ digital medicine
DO  - 10.1038/s41746-026-02965-z
UR  - https://doi.org/10.1038/s41746-026-02965-z
ER  -

APA

T, Z., A, Z., S, F., V, K., N, E., R, R., R, E., P, A., M, B., & C, Y. (2026). Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-02965-z

Source records

pubmed · retrieved 2026-09-26T07:48:05.935Z