19 Jan
19Jan

๐Ÿค– ๐€๐ˆ ๐ข๐ฌ ๐›๐ž๐œ๐จ๐ฆ๐ข๐ง๐  ๐ฉ๐š๐ซ๐ญ ๐จ๐Ÿ ๐จ๐ฎ๐ซ ๐ž๐ฏ๐ž๐ซ๐ฒ๐๐š๐ฒ ๐ฅ๐ข๐ฏ๐ž๐ฌ, ๐›๐ฎ๐ญ ๐ก๐จ๐ฐ ๐๐จ ๐ฐ๐ž ๐ž๐ง๐ฌ๐ฎ๐ซ๐ž ๐ข๐ญ ๐ญ๐ซ๐ฎ๐ฅ๐ฒ ๐ฌ๐ž๐ซ๐ฏ๐ž๐ฌ ๐š๐ง๐ข๐ฆ๐š๐ฅ ๐ก๐ž๐š๐ฅ๐ญ๐ก?

From personal tools to professional decision-making, AI is now everywhere.
In animal health, it holds real promise, if used with science, ethics and responsibility.

On 14 January 2026, European Medicines Agency (EMA) and U.S. Food and Drug Administration (FDA) jointly published a landmark set of common principles for good AI practice in medicine development: a strong signal for the entire health ecosystem.

๐Ÿ๐ŸŽ ๐ฉ๐ซ๐ข๐ง๐œ๐ข๐ฉ๐ฅ๐ž๐ฌ ๐ญ๐จ ๐ค๐ž๐ž๐ฉ ๐€๐ˆ ๐š๐ฅ๐ข๐ ๐ง๐ž๐ ๐ฐ๐ข๐ญ๐ก ๐ฌ๐œ๐ข๐ž๐ง๐œ๐ž & ๐ž๐ญ๐ก๐ข๐œ๐ฌ:
 ๐Ÿง  Human-centric and ethically grounded by design
 โš–๏ธ Risk-based approach adapted to context of use
 ๐Ÿ“ Compliance with scientific, quality and regulatory standards (GxP)
 ๐ŸŽฏ Clear definition of purpose and scope
 ๐Ÿ‘ฅ Multidisciplinary expertise (AI, medical, regulatory, quality)
 ๐Ÿ—‚๏ธ Robust data governance, traceability and documentation
 ๐Ÿ› ๏ธ Transparent, explainable and robust model design
 ๐Ÿ“Š Performance assessed based on real-world risk
 ๐Ÿ”„ Continuous lifecycle monitoring and improvement
 ๐Ÿ—ฃ๏ธ Clear, accessible information for users and stakeholders

๐Ÿพ ๐“๐š๐ค๐ž-๐ก๐จ๐ฆ๐ž ๐ฆ๐ž๐ฌ๐ฌ๐š๐ ๐ž
AI can accelerate progress in animal health. Used responsibly, it can strengthen evidence, support better decisions and create sustainable value for animals, veterinarians and companies alike.

๐Ÿ”— Read the EMAโ€“FDA announcement:
https://lnkd.in/gwTjWhvU

Commentaires
* L'e-mail ne sera pas publiรฉ sur le site web.