AI Isn’t the Product, the User Experience Is
In pharma R&D, UX design is the difference between an AI breakthrough that changes how scientists work and a promising model that never leaves the [...]
In Vivo Laboratory Efficacy Data Standards Initiative
In vivo efficacy studies generate critical data for drug discovery, but the absence of agreed standards leads to fragmented, inconsistent, and difficult-to-reuse data sets. Current [...]
European Life Science Informatics Forum - Nordics Chapter
FOCUS Area: AI-Driven Image Analysis in Pharma Research & Development The Life Science Informatics Forum, established in 2021, is a developing community focused on [...]
FAIR and Data Governance Training Program
Live training program comprised of 15 sessions beginning November 4, 2025 Training summary This comprehensive training program offers a deep dive into the principles [...]
Knowledge Foundation: Federated Knowledge Graphs for Scalable Data and AI in Pharma
Explore how federated knowledge graph architecture empowers Boehringer Ingelheim to scale data and AI. By enabling business domains to build and manage their own local [...]
The Omics Standards Landscape: Building Bridges to Advance Drug Discovery and Clinical Trials Research
Join us for a thought-provoking virtual roundtable bringing together experts from across industry and academia to discuss the evolving role of omics standards in drug [...]
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 [...]
Japan-Only Member Call | 日本限定メンバーコール
Join Our Japan-Only Member Call We’re excited to host the second Japan-only member call, an open conversation under the Pistoia Alliance by-laws. This session will [...]
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 [...]