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Editorial
. 2024 Nov 13:4:1517365.
doi: 10.3389/fdsfr.2024.1517365. eCollection 2024.

Editorial: AI/ML in pharmacovigilance and pharmacoepidemiology

Wen Zou  1 , Pantelis Natsiavas  2 , Assaf Gottlieb  3
Affiliations
Editorial

Editorial: AI/ML in pharmacovigilance and pharmacoepidemiology

Wen Zou et al. Front Drug Saf Regul. .
No abstract available

Keywords: AI trends; artificial intelligence; machine learning; pharmacoepidemiology; pharmacovigilance.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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  • Editorial on the Research Topic AI/ML in pharmacovigilance and pharmacoepidemiology

References

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    1. Bate A., Luo Y. (2022). Artificial intelligence and machine learning for safe medicines. Drug Saf. 45 (5), 403–405. 10.1007/s40264-022-01177-0 - DOI - PMC - PubMed
    1. Kassekert R., Grabowski N., Lorenz D., Schaffer C., Kempf D., Roy P., et al. (2022). Industry perspective on artificial intelligence/machine learning in pharmacovigilance. Drug Saf. 45 (5), 439–448. 10.1007/s40264-022-01164-5 - DOI - PMC - PubMed

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