Large-language models are excellent for general-use AI systems, but they don’t understand pharmaceutical companies’ ...

Annex 22 marks a paradigm shift in pharmaceutical manufacturing, not only because it closes the longstanding “AI grey zone” but because its scope fundamentally changes how organizations must recruit, ...

Disruptions, whether positive, like the addition of new data sources, or challenging, such as supplier exits, are part of the natural evolution of open claims. Specific changes, such as expanded ...

Advanced technologies in pharma manufacturing necessitate a redefinition of the Qualified Person's role, focusing on digital ...

CRM systems must evolve into intelligent networks integrating data, AI, and governance for effective orchestration in pharma. Unified data, embedded AI, and strategic governance form the foundation ...

Trust is often a major barrier to companies integrating AI tools. Learn how better data governance can improve confidence.

AWS also introduced the Trainium 3 chip and new AI-optimised servers designed to handle resource-intensive healthcare workloads such as genomics pipelines, biomarker discovery, molecular-simulation ...

Generative artificial intelligence is moving from the margins of pharma into the center of how new medicines are imagined, ...

Ultimately, Khan emphasized that protecting PHI requires more than compliance checkboxes—it demands a continuous, structured approach to data visibility and accountability. By aligning access control ...

GenAide, founded in 2016, acts as an end-to-end export partner, manages 65 fully approved products, and serves over 35 ...

Together with the previously reported statistically significant increase in upper-limb corticospinal signaling, these findings provide compelling neurophysiological evidence that NVG-291 restores ...