Includes the 2026 series (8 live and/or on demand sessions), plus on-demand access to the 2025 series of 9 sessions. Building on the strong foundation established in the 2025 Training Series, the 2026 Training Series represents the next stage in the AI learning journey for pharmaceutical professionals. The 2025 curriculum was developed through the […]
In an industry where failure is rarely discussed openly, this round table offers something genuinely valuable: a safe, pre-competitive space to share what has gone wrong with AI projects — and what was learned as a result. From misaligned expectations and poor data quality to underestimated complexity and organisational resistance, AI initiatives fail for […]
AI is reshaping how organizations work, faster than most can adapt; what was true two months ago may not hold today. This presentation shares how Parabilis Medicines and bPrescient are navigating that uncertainty across three fronts: Building change management practices flexible enough to handle constant flux without disrupting teams Architecting AI systems around durable principles […]
Building on the AI-Ready Data Workshop held at the Boston Conference, this follow-up session reports back on the discussions, consensus, and open questions that emerged including how FAIR data principles map to AI readiness, and what additional dimensions of data quality the community identified as critical. As with all LSAIE round tables, numbers are […]
A year-end look back at how the field of AI in life sciences has evolved over 2026, featuring reflections from returning LSAIE contributors alongside forward-looking perspectives on priorities for 2027. This session also closes the loop on the AI-Ready Data initiative for members of the wider community. Find out more about the Life Science […]
