Benchmarks for Natural Language Data Mining with LLMs
Chemical Exchange Format Committee
Clinical Trial Environmental Impact
CMC Process Ontology
Data FAIRy Bioassay Annotation
Digital Analytical Methods (with ASM)
IDMP Ontology
In Vitro NAM Data Standards
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In Vivo Efficacy Data Standards
Large Language Models in Life Sciences
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MNMs for Repurposing Non Clinical In Vivo Data
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Pharmacovigilance Systems and Processes Standards
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Presentations
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.
The FAIR Forward 2026 Ecosystem Landscape Map is a visualization that captures the outcomes of the Pistoia Alliance FAIR CoE workshop, mapping the key technical, organisational and regulatory factors influencing FAIR data adoption across the life sciences ecosystem, from immediate opportunities to long-term challenges.
This webinar introduces the FAIR Business Value Framework, designed to quantify and communicate the business impact of implementing FAIR (Findable, Accessible, Interoperable, Reusable) data principles in life sciences.
Accurids’ Unified Product Data Strategy streamlines EMA PMS compliance by automating IDMP data standardization, ensuring higher data quality, reduced manual effort, and faster, safer regulatory submissions
The PS² initiative is uniting the industry to establish shared standards for pharmacovigilance systems, starting with Case Intake, to cut costs, drive innovation, and deliver safer, more effective outcomes for patients.
This presentation outlines the evolution of chemical data interoperability at Pfizer, highlighting the shift from legacy V2000 formats to modern V3000 and text-based standards, the challenges of stereochemistry, reaction data handling, and cross-tool compatibility, and the push toward open formats and web-based tools.
Gerd Blanke highlights how flaws in chemical exchange formats create costly inefficiencies and data quality issues, advocating for industry-wide collaboration to establish robust, standardized solutions through the Pistoia Alliance.
Susan Leung outlines the significant interoperability and standardization challenges in exchanging cheminformatics data across complex, multi-vendor environments, calling for improved communication, education, and harmonization of formats.
Thomas Doerner highlights persistent chemical and technical challenges in cheminformatics—from unFAIR data to complex compound representation and non-classic environments—and urges the community to prioritize and collaboratively address them.
Ramil Nugmanov presents a fragment-based, SMILES-concatenation strategy for DNA-encoded library searches that dramatically reduces memory and compute demands while enabling fast, scalable similarity searches in billion-compound chemical spaces.
Presentation slides from the Strategic Priorities Portfolio Update webinar hosted by Christian Baber and Thierry Escudier on July 2, 2025
Pistoia Alliance 2025 London conference presentation by Mark Hahnel, VP Open Research, Digital Science
