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
In Vitro Pharmacology
In Vivo Efficacy Data Standards
Large Language Models in Life Sciences
LLM and NLP Use Case Database
MNMs for Repurposing Non Clinical In Vivo Data
Open Source Instrument Data Converter Repository
Pharma General Ontology Terminology
Pharmacovigilance Systems and Processes Standards
Social Media Real World Evidence
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Change Management
CSCS
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Future Labs Evolution
GSRS Community
Microbiome-Mediated Drug Metabolism Database
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Meeting Summary
This guideline focuses on the funding and prioritization challenges that often delay foundational investment in data curation, standardization and infrastructure.
Industry experts explore how life sciences organisations can build trust, validation and regulatory readiness for agentic AI, with a focus on human oversight, governance and practical approaches to deploying AI in regulated workflows.
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.
Summary of the meeting held at Astrazeneca in Cambridge on April 29, 2026
Summary notes of the meeting held at Novo Nordisk on June 23, 2026
Summary notes and flipchart reports from the meeting held at Merck KGA in Darmstadt on May 21, 2026
Summary notes & flipchart analysis from the meeting held at GSK in Wavre on April 21, 2026
Summary of the meeting hosted by Sanofi on June 24, 2026
Summary of the online round table on May 13th 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.
The Pistoia Alliance Life Science AI Exchange seminar highlighted rapid advances in AI capabilities alongside critical gaps in evaluation, skills, and governance, underscoring the need for better benchmarking and more structured approaches to delivering real-world value in life sciences.
Summary notes of the Life Science AI Exchange roundtable held on February 25, 2026
