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Webinar
This webinar introduces our project to develop and pilot practical standards for in vivo efficacy data—aligned with CDISC SEND—to enhance data quality, interoperability, and readiness for regulatory and AI-driven applications.
Exploring how the future of AI in pharma R&D depends not just on the technology itself, but on the experience of the people using it, this webinar brings together voices from the pharmaceutical industry, software creators, and UX professionals.
Dr. Olivier Barberan presents how AI, machine learning, and new approach methodologies (NAMs) are transforming toxicology by replacing traditional animal testing with human-relevant, data-driven models that improve safety prediction, reduce costs, and support more ethical, efficient drug discovery.
Now in its third year, the Lab of the Future survey by the Pistoia Alliance and Lab of the Future Congress shares 2025 insights to help the life sciences community navigate change and identify opportunities.
This webinar explores how life sciences organizations can scale AI from pilot projects to enterprise-wide platforms, transforming it from a technical capability into an operating model that accelerates discovery, development, and compliance.
This webinar explores how the ACCURIDS IDMP Data Standardization Fabric helps life sciences companies unify product data, improve submission efficiency, and accelerate the product lifecycle while reducing risks and costs.
Recording of the Change Management Best Practices Session on August 22, 2025
Discover how the PS2 – Case Intake initiative is bringing pharma companies and technology providers together to standardize pharmacovigilance case intake, cut duplication, and unlock a more connected and innovative PV ecosystem.
Explore how Agentic AI is transforming pharma, with experts sharing real-world use cases, technical and business challenges, and insights into its impact on drug development, regulatory documentation, and data stewardship.
Join us for another IDMP Ontology webinar where we discuss important achievements of our IDMP-O project. These sessions are designed to improve data alignment and interoperability across the pharmaceutical industry.
Discover how Bayer and Thoughtworks co-developed PRINCE, a GenAI-powered research assistant that transforms preclinical drug development by streamlining data retrieval, regulatory drafting, and metadata reannotation—cutting manual effort by 90% and enabling faster, more compliant decision-making.
This webinar explores practical applications of generative AI in drug discovery, featuring insights from Asha Mahesh of Johnson & Johnson on use cases delivering real value, the infrastructure and strategy required to scale, and the current limitations of the technology.
