Pharmacovigilance Systems & Processes Standards (PS2) – Case Intake
Breaking Down Silos. Building Standards. Driving Innovation. Pharmacovigilance (PV) systems across the pharmaceutical industry share remarkably similar requirements—but suffer from poor interoperability, leading to fragmented solutions, inflated costs, and limited innovation. Join us for a focused webinar introducing the PS2 – Case Intake initiative aimed at defining requirements and integration standards for the pharmacovigilance […]
The Unified Product Data Strategy
Using the ACCURIDS IDMP Data Standardization Fabric to Master Your Product Data Lifecycle for Faster, and Streamlined Submissions What if you could master the quality of both internal and external product data (like from the EMA) and turn the entire IDMP mandate into a commercial advantage? Discover how the ACCURIDS IDMP Data Standardization Fabric creates […]
European Life Science Informatics Forum Amsterdam
Focus Area: Ontologies in the Loop: Enablers of Open Integration in the Laboratory 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 […]
Pistoia Alliance USA Conference 2025
Data Driven Innovations – November 11 & 12, 2025 Address: Convene One Boston Place, 201 Washington Street, Boston, MA 02108 Join us at our annual USA conference, in Boston, where new ideas are sparked and new initiatives are activated thanks to the power of collaboration. Polite notice, if you are unsure of your membership status, […]
UK Life Science Informatics Forum – Christmas 2025
Persistent Challenges in Computational Biology Computational biology is an interdisciplinary field that drives innovation across drug discovery, diagnostics, and healthcare. It is fuelled by diverse data generated by new technologies (e.g. single cell, spatial omics), constant progress in computing power and rapid development of AI-ML approaches. However, translating analyses or turning models into real-world and […]
