Dear Colleague,

We are announcing advances in multiple projects that are incubated in the Pistoia Alliance AI Center of Excellence:

• We are launching a new Community of Interest in the minimal standards for description of AI models and data, created as a merger of two earlier project ideas: Standards that enable a marketplace for AI/ML data sets and Minimum Information About an AI/ML Model. The initial call on October 14^th was attended by representatives from ELIXIR EU, UCSF, and BIOVIA. The founding members of the CoI from UCSF have recently published a paper on this topic. We are planning to organize a web panel on the standards in AI in the near future.
• We are launching a new Community of Interest in regulatory compliance and validation in AI. This CoI also incorporates ideas recorded earlier in the Regulatory Impact of AI in Life Sciences in Health project idea. The opening call, also on October 14^th, was attended by representatives from GSK, Zifo, and Northeastern University, with interest from Novartis and the Alliance for Artificial Intelligence in Healthcare. The interested parties decided to grow this group by reaching out to the international trade organizations, such as International Medical Device Regulators Forum Artificial Intelligence Medical Devices
• The BioAssay FAIR Annotation project that is also informally known as “DataFAIRy” will be starting the proof-of-concept annotation work this month.
•  View the portfolio of emerging project ideas for the Pistoia Alliance in the newly updated Confluence site or submit new project ideas on this form on the Innovation webpage. The project ideas previously created in our CoE, in addition to those mentioned above, are here:
  • Data sharing for healthy controls, particularly in RWD
  • Registry of medically relevant artificial intelligence models
  • AI/ML model management, deployment, provenance & versioning

Should you encounter any problems with access to the new innovation pages, please contact Vladimir Makarov.

• A gentle reminder to vote in the online poll on the current challenges in AI and ML in drug discovery and pharmaceutical R&D. Now when the Artificial Intelligence technology is entering the post-hype stage, what topics should our community focus on?
• Do not miss these recent additions to our digital library:
  • Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
  • Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
  • Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
  • An Artificial Intelligence Approach to Proactively Inspire Drug Discovery with Recommendations 
  • Transparency and reproducibility in artificial intelligence