The Pistoia Alliance brings together the biopharmaceutical ecosystem, powering collaboration to drive innovation and new breakthroughs.
Our global community of more than 200 member organizations from across the biopharma ecosystem collaborates to solve common problems, sharing expertise and R&D costs, to move the industry forwards and ensure better outcomes for all.
About UsWhy Join?
Achieve more, together. Build your expertise through our member-driven projects, communities and educational events.
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Our Strategic Priorities
Delivering Data-Driven Value
We are committed to harnessing the power of data to drive innovation, accelerate discoveries, and optimize decision-making processes across the industry, thus achieving exceptional value at scale.
Featured Community
Our Strategic Priorities
Harnessing AI to Expedite R&D
Embracing the potential of artificial intelligence, we seek to empower researchers and organizations to streamline R&D processes, expedite drug discovery, and unlock novel insights through the integration of AI-driven technologies.
Featured Community
Our Strategic Priorities
Sustainability-Driven R&D
In harmony with the growing ESG focus, we are dedicated to promoting sustainable practices within the R&D ecosystem, fostering environmentally responsible approaches, and creating a positive impact on our industry and the world.
Featured Project
Our Strategic Priorities
Accelerate Late-Stage R&D
Increase the effectiveness of one of the most resource intense phases of R&D to benefit patients
Featured Project
Our Strategic Priorities
Core Projects
In line with the Project Portfolio we have a number of legacy projects and communities that serve the Pistoia Alliance diverse community.
Featured CommunityNew ideas are where collaboration starts
View All Our New IdeasOur Events
Partner Event: Semantic Data Europe 2025: Taxonomy, Ontology, and Knowledge Graphs
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Pharma and Life Science AI/ML Training – Session 6: LLMs as Agents in Drug Discovery
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Pharma and Life Science AI/ML Training – Session 7: AI in Computational Medicinal Chemistry
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Pharma and Life Science AI/ML Training – Session 9: Digital Pharmaceutical Manufacturing
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