The Safety and PV AI Community of Experts aims to provide a collaborative forum for integrating AI into pharmacovigilance. By uniting industry professionals, it addresses regulatory challenges, promotes best practices, and accelerates AI adoption to improve patient safety, streamline compliance, reduce duplication, and enhance the efficiency of safety monitoring worldwide.
The existing ontologies (BAO, AFO) fall short in enabling experiment data interoperability and reuse, especially around modeling measurements and defining participant roles. This proposal suggests updating BAO to support accurate, machine-interpretable experimental results, aligning with FAIR principles to enhance aggregation, interoperability, and scientific rigor.
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