Highlights from the year so far
Below is a round-up of the most visited resources we have created so far this year, from educational webinars to thought leadership articles and research insights. You can find more content from the Pistoia Alliance by visiting our dedicated resource library.
UX in Life Sciences: What’s Actually Different — and Why It Matters
In life sciences, the product isn’t the software, it’s the therapy. This opening UXLS article explores why that makes UX fundamentally different and strategic.
Life Science AI Exchange: Agentic AI and Technology Best Practices
Join life sciences experts to explore the latest advances, real-world applications and governance considerations for agentic AI.
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.
AI Adoption in Clinical Trials
Poll taken from the Clinical Trials Technology Congress (CTTC) in London (May 2026) to understand the impact of AI and real-world data on clinical trials
The global landscape and regulations continue to evolve. Are you ready?
The rulebook on controlled substances keeps widening, and the supply chain keeps shifting. The success of teams responsible for compliance and shipping lies in exchange and prevention.
Pistoia Alliance Ontology Design Principles
A practical governance framework that sets out the standards and best practices for designing, managing, and releasing FAIR, interoperable ontologies and semantic artefacts across the Pistoia Alliance ecosystem.
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.
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.
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.
Advancing AI & ML In Life Sciences R&D Whitepaper
Based on a global survey and executive interviews conducted in late 2025, this report explores how rapidly advancing AI capabilities are outpacing organizational maturity across the life sciences sector despite strong demand and high strategic importance.
AI Impact & Value Poll
In partnership with Thoughtworks, this report shares findings from a poll of 300 life sciences leaders at the 2026 Pistoia Alliance Spring Conference, exploring how AI adoption in R&D is advancing, where gaps remain in organizational integration and value realization, and why collaboration, data standards, and regulatory alignment are critical for scaling AI effectively and safely.
London Conference Insights Report – April 2026
The Pistoia Alliance Spring Conference 2026 highlighted that while AI capabilities in life sciences are advancing rapidly, the industry’s real bottlenecks lie in data infrastructure, organisational readiness, and cross-sector coordination, limiting the translation of progress into tangible patient and R&D outcomes.