Advancing AI & ML In Life Sciences R&D Whitepaper 2025
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.
Are misaligned incentives preventing better patient outcomes in life sciences R&D?
This joint research initiative with ZS Associates brings together insights from industry leaders across healthcare and life sciences to examine the opportunities, challenges, and requirements for enabling near-real-time integration of human health data to accelerate R&D innovation.
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.
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.
Sustainability White Paper 2025
The healthcare sector contributes to approximately 5% of global greenhouse gas emissions, and clinical trials play a significant part in this (producing approximately 100 million tonnes of carbon dioxide). This white paper, a collaboration between the pharmaceutical industry and patient groups, explores what is next for the industry tackling sustainability alongside a challenging healthcare environment.
Lab of the Future 2025 report
Produced in partnership with Open Pharma Research, this 2025 report explores global trends in laboratory technology adoption, investment priorities, and digital transformation across the life sciences sector, highlighting the growing use of AI, shifting attitudes toward emerging technologies, and the evolving focus from operational efficiency to innovation in enabling the lab of the future.
Elevating Organizational Change Management in Pharma and Life Sciences
This whitepaper summarizes insights from the Pistoia Alliance Change Management Community’s 2025 activities, highlighting why organizational change efforts in pharma and life sciences often stall and outlining practical, human-centered best practices and a roadmap to strengthen and sustain effective change management for digital transformation.
Pistoia Alliance 2025 Annual Report
The Pistoia Alliance Annual Report 2024/25 highlights how the Alliance is advancing innovation in life sciences R&D through pre-competitive collaboration, showcasing the impact of its global projects, AI and FAIR data initiatives, training programs, industry partnerships, and growing member community in addressing shared scientific and technological challenges across the sector.
Survey Reveals AI Data Transparency Gaps in Life Sciences
This article highlights findings from Pistoia Alliance research revealing significant gaps in AI data transparency, governance, and skills across life sciences R&D, exploring how incomplete scientific evidence, unclear standards, and organizational challenges are impacting confidence in AI systems and underscoring the need for greater industry collaboration to enable safe and effective AI adoption.