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Information Sheet

Delivering Data Driven Value

IDMP Ontology Information Sheet

A plain-language information sheet on the IDMP Ontology, a vendor-neutral implementation layer for medicinal product data: what it is, the problems it solves, how it's governed, and how to access it.

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Journal Article

Harnessing AI To Expedite R&D

Why Do AI Projects Fail in Drug Development and Pharma?

Many AI projects in drug development succeed technically but never deliver lasting business value. Why? This peer-reviewed paper, built on multi-year Pistoia Alliance studies, examines what really separates AI initiatives that scale from those that stall. The answer is less about technology than you think.

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Presentations

Delivering Data Driven Value

Pharma General Ontology (PGO)-Terminology: Building a Semantic Backbone for FAIR and AI-Ready Knowledge Graphs

How do you make pharma data speak one language? The PGO Terminology project is building a community-governed "lingua franca" of core concepts that lets FAIR data and AI-ready knowledge graphs work across the industry. To learn more, view Giovanni Nisato's Bio-IT World 2026 presentation.

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Webinar

Core PriorityCore Projects

July 2026 Strategic Priorities Portfolio Update

Gain insight into the Pistoia Alliance's strategic roadmap and the emerging priorities shaping the future of collaborative innovation in life sciences R&D.

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Journal Article

Accelerate Late-Stage R&D

Regulatory Science: Addressing Uncertainties in Medicines Development, Evaluation and Use

A peer-reviewed publication by the Pistoia Alliance Social Media Listening and Real-World Evidence project has been recognized in a compilation of highly relevant voices on regulatory science and strategies to address uncertainties in medicines development, evaluation and use.

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Best Practices Guides

Delivering Data Driven Value

Pistoia Alliance Ontology Design Principles

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Webinar

Harnessing AI To Expedite R&D

From Strings to Things: How Semantic Grounding Defends Against AI Hallucinations in Drug Discovery

Discover how GSK is using semantic grounding and ontologies to reduce AI hallucinations, improve data integrity, and build more trustworthy large language model applications in pharmaceutical R&D.

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Webinar

Delivering Data Driven Value

FAIR Forward in Life Sciences

Discover the key findings from the FAIR Forward Workshop, where experts from across the life sciences ecosystem identified the priorities, challenges, and opportunities for advancing FAIR data adoption.

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Webinar

Harnessing AI To Expedite R&D

Japan Roundtable Discussion: AI and AI agents in ELN and LIMS workflows

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Presentations

Delivering Data Driven Value

FAIR Forward 2026 Ecosystem Landscape Map

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Meeting Summary

Harnessing AI To Expedite R&D

Life Science AI Exchange Seminar Review – June 2026

This seminar explored how life sciences organizations can successfully deploy agentic AI by focusing on trustworthy data, robust governance, rigorous evaluation, and human oversight, demonstrating that sustainable AI value depends as much on data readiness and trust as on advances in AI technology.

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Meeting Summary

Core Priority

UK Life Science Informatics Forum – April 2026

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