Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning.
- DOI
- 10.1111/bcpt.70192
- Published
- 2026 Mar
- Container
- Basic & clinical pharmacology & toxicology
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1111/bcpt.70192,
title = {Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning.},
author = {Pylkkö E and Courtois É and Paakinaho A and Hartikainen S and Kaasinen V and Elbaz A and Thiébaut ACM and Ahmed I and Tolppanen AM},
year = {2026},
journal = {Basic \& clinical pharmacology \& toxicology},
doi = {10.1111/bcpt.70192},
url = {https://doi.org/10.1111/bcpt.70192}
}RIS
TY - JOUR TI - Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning. AU - Pylkkö E AU - Courtois É AU - Paakinaho A AU - Hartikainen S AU - Kaasinen V AU - Elbaz A AU - Thiébaut ACM AU - Ahmed I AU - Tolppanen AM PY - 2026 JO - Basic & clinical pharmacology & toxicology DO - 10.1111/bcpt.70192 UR - https://doi.org/10.1111/bcpt.70192 ER -
APA
E, P., É, C., A, P., S, H., V, K., A, E., ACM, T., I, A., & AM, T. (2026). Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning.. Basic & clinical pharmacology & toxicology. https://doi.org/10.1111/bcpt.70192
Source records
- pubmed · retrieved 2026-09-26T21:09:12.067Z