The Pistoia Alliance is a global, not-for-profit members’ organization working to lower barriers to innovation in life science and healthcare R&D. Founded over a decade ago the alliance brings together more than 200 member companies from life science companies, technology and service providers, publishers, and academic groups to transform R&D through pre-competitive collaboration. […]
With the EMA’s Product Master Data Service live since 2024, ISO IDMP conformance is no longer looming at the horizon but an urgent regulatory imperative. Yet aligning complex medicinal product data to IDMP standards remains a major challenge for many Marketing Authorization Holders (MAHs). Join experts from ACCURIDS and MAIN5 to discover a proven, […]
FOCUS Area: Knowledge Graphs and LLMs: Scalability and Path to Value Creation The Life Science Informatics Forum, established in 2021, is a developing community focused on sparking discussions on leading-edge topics within the broader Life Science Informatics arena and, more specifically, the Biopharma R&D informatics sector. Session Format Forum kick-off: greeting from that the […]
The online “Pharma and Life Sciences AI/ML Training Program” comprises of 9 sessions and has been developed with the expertise of academics and industry professionals. The training is designed to equip professionals with cutting-edge knowledge and skills in the application of Artificial Intelligence (AI) and Machine Learning (ML) to the pharmaceutical and life sciences industries. […]
The Pistoia Alliance is building a pharmaceutical CMC process ontology based on the ISA88/95 framework to standardize laboratory and plant production process recipes to establish standardized definitions, facilitate digital technology transfers and integration with execution systems to capture structured process data for material lot genealogy tracking, streamlined technology transfers, and advanced process analytics, thereby enhancing […]
Available on demand from 21 February 2025, this series of 5 recorded sessions is addressed to Pharma industry: business leaders, budget holders, tech leaders and scientists. Training goal: unravel the complexities of ontologies and demonstrate their immense value in the life sciences domain by providing a general understanding of the different ontologies and their […]
