🤖 𝐀𝐈 𝐢𝐬 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐞𝐯𝐞𝐫𝐲𝐝𝐚𝐲 𝐥𝐢𝐯𝐞𝐬, 𝐛𝐮𝐭 𝐡𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐞𝐧𝐬𝐮𝐫𝐞 𝐢𝐭 𝐭𝐫𝐮𝐥𝐲 𝐬𝐞𝐫𝐯𝐞𝐬 𝐚𝐧𝐢𝐦𝐚𝐥 𝐡𝐞𝐚𝐥𝐭𝐡?
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.
𝟏𝟎 𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 𝐭𝐨 𝐤𝐞𝐞𝐩 𝐀𝐈 𝐚𝐥𝐢𝐠𝐧𝐞𝐝 𝐰𝐢𝐭𝐡 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐞𝐭𝐡𝐢𝐜𝐬:
🧠 Human-centric and ethically grounded by design
⚖️ Risk-based approach adapted to context of use
📏 Compliance with scientific, quality and regulatory standards (GxP)
🎯 Clear definition of purpose and scope
👥 Multidisciplinary expertise (AI, medical, regulatory, quality)
🗂️ Robust data governance, traceability and documentation
🛠️ Transparent, explainable and robust model design
📊 Performance assessed based on real-world risk
🔄 Continuous lifecycle monitoring and improvement
🗣️ Clear, accessible information for users and stakeholders
🐾 𝐓𝐚𝐤𝐞-𝐡𝐨𝐦𝐞 𝐦𝐞𝐬𝐬𝐚𝐠𝐞
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.
🔗 Read the EMA–FDA announcement:
https://lnkd.in/gwTjWhvU