LLMs

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A new report commissioned by Arnold & Porter, based on a survey of 100 senior executives and department heads from biopharmaceutical, digital health, diagnostics, and medical device companies, shows that artificial intelligence (AI) adoption is accelerating across the industry as companies implement it to accelerate product discovery and development, optimize manufacturing and the supply chain, improve marketing and sales strategies, and more.

However, as with any disruptive innovation, risks need to be managed. The report also highlights looming governance and compliance needs as companies seek to mitigate the risks associated with AI technologies, particularly in areas like data privacy, cybersecurity, and intellectual property.

The Arnold & Porter report found that AI use is still in its early stages for many in the life sciences industry, with around 75% of respondents beginning implementation less than two years ago. Despite this, 86% of companies currently integrating AI plan to fully deploy these tools within the next two years, reflecting a significant acceleration in AI adoption.Continue Reading The Convergence of Life Sciences and Artificial Intelligence: Seizing Opportunities While Managing Risk

On 5 September 2024, the European Medicines Agency (EMA) and the Heads of Medicine Agencies (HMA) published a guidance document (the Guidance) with general principles and recommendations on the use of large language models (LLMs) in regulatory science and the regulation of medicinal products.  The guiding principles for users are also summarised in a one-page factsheet.

While the Guidance is aimed at the European Union (EU) regulatory authorities, it is instructive for companies active in the Life Sciences sector. It provides useful insight into how regulators will approach the use of LLMs in their regulatory activities, the risks they have identified and how these risks can be mitigated.

The development of the guiding principles set out in the Guidance are part of the EMA’s and HMA’s multiannual AI workplan to 2028 and, according to EMA, will be subject to regular future updates.Continue Reading AI: EMA publishes guiding principles on the use of large language models (LLMs)