We are a not-for-profit organization with over 200 member companies across the life science ecosystem collaborating across more than 25 projects and communities to advance science. Our members include 18 of the top 20 global pharma companies by revenue, patient-led research groups, technology and solution providers, academic institutions, publishers, and commercial research groups.
Our mission is to lower the barriers to innovation in Life Sciences. Our unique framework for collaboration enables organizations across the industry to work together to solve common issues thus eliminating barriers to innovation.
The ability to instigate and collaborate, risk-free, with experts from other companies in our communities and projects to solve industry-wide issues and deliver tangible results to your user communities.
Build a network of peers and mentors across the industry and across the world, enhancing your skills and career progression with professional development through involvement in our training programmes, events and webinars.
We are structuring the portfolio of projects and communities around four strategic priorities, ensuring that the Pistoia Alliance delivers value to members with impactful solutions that address the biggest R&D challenges that lie ahead. Our projects transform R&D innovation through pre-competitive collaboration. If you have an idea for a project, please get in touch, by email, at email@example.com
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.
A well-defined ontology that bridges between regional and functional perspectives on common substance-related data objects and global and scientifically objective representations is required. The goal of our project is to build an IDMP Ontology that enables deep, semantic interoperability based on FAIR principles to enhance and augment the existing ISO IDMP standards.
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.
Our community aims to define best practices for the use of Artificial Intelligence and Machine Learning in Life Sciences research. Currently we are considering a new project around Large Language Models, like the now famous ChatGPT. In order to determine the direction of this project, we invite all interested parties to complete the below survey.
Recognizing the potential of real-world data in shaping healthcare outcomes, we strive to promote its widespread adoption, enabling evidence-based decision-making and fostering patient-centric advancements in medical research.
The goal of the Social Media to Produce Real-World Evidence (RWE) project is to develop and publish key regulatory guidelines associated with the use of social media as real-world data (RWD) to produce RWE.
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.
The Clinical Trial Environmental Impact project wishes to develop a dynamic model that compares the carbon footprint of a clinical trial in traditional, hybrid and fully decentralised settings.