Digital Analytical Methods (with Allotrope)
Digital analytical methods replace manual, error-prone documentation with standardized, machine-readable instructions. By aligning with FAIR data principles, this approach improves data integrity, reduces development and transfer times by up to 60%, and enables automation, interoperability, and faster insights across laboratory systems.
The Safety and PV AI Community of Experts
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.
BAO Update
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.
Ready to share your idea?
Do you have an idea for a project or community you'd like to submit to the Pistoia Alliance? Check out our strategic priorities to see where your idea could fit in and then reach out to us!