Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.

Arnau-Soler A, Corriger J, Chantran Y, Goret J

Open source

DOI
10.1097/aci.0000000000001143
Published
2026 Apr 1
Container
Current opinion in allergy and clinical immunology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1097/aci.0000000000001143,
  title = {Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.},
  author = {Arnau-Soler A and Corriger J and Chantran Y and Goret J},
  year = {2026},
  journal = {Current opinion in allergy and clinical immunology},
  doi = {10.1097/aci.0000000000001143},
  url = {https://doi.org/10.1097/aci.0000000000001143}
}

RIS

TY  - JOUR
TI  - Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.
AU  - Arnau-Soler A
AU  - Corriger J
AU  - Chantran Y
AU  - Goret J
PY  - 2026
JO  - Current opinion in allergy and clinical immunology
DO  - 10.1097/aci.0000000000001143
UR  - https://doi.org/10.1097/aci.0000000000001143
ER  - 

APA

A, A., J, C., Y, C., & J, G. (2026). Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.. Current opinion in allergy and clinical immunology. https://doi.org/10.1097/aci.0000000000001143

Source records