Artificial intelligence–driven pharmacovigilance: transforming signal detection, real-world drug safety monitoring, and regulatory decision-making
- DOI
- 10.1080/14740338.2026.2759573
- Published
- 2026-11-03
- Container
- Expert Opinion on Drug Safety
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/14740338.2026.2759573,
title = {Artificial intelligence–driven pharmacovigilance: transforming signal detection, real-world drug safety monitoring, and regulatory decision-making},
author = {Sachin Kumar and Saurabh Chaturvedi},
year = {2026},
journal = {Expert Opinion on Drug Safety},
doi = {10.1080/14740338.2026.2759573},
url = {https://doi.org/10.1080/14740338.2026.2759573}
}RIS
TY - JOUR TI - Artificial intelligence–driven pharmacovigilance: transforming signal detection, real-world drug safety monitoring, and regulatory decision-making AU - Sachin Kumar AU - Saurabh Chaturvedi PY - 2026 JO - Expert Opinion on Drug Safety DO - 10.1080/14740338.2026.2759573 UR - https://doi.org/10.1080/14740338.2026.2759573 ER -
APA
Kumar, S., & Chaturvedi, S. (2026). Artificial intelligence–driven pharmacovigilance: transforming signal detection, real-world drug safety monitoring, and regulatory decision-making. Expert Opinion on Drug Safety. https://doi.org/10.1080/14740338.2026.2759573
Source records
- crossref · retrieved 2026-11-05T11:08:16.366Z