๐ฅ๐ฒ๐ฎ๐ฑ๐ ๐๐ผ ๐๐ผ๐บ๐บ๐ฒ๐ป๐ ๐ผ๐ป ๐๐๐โ๐ ๐ฉ๐ถ๐ฒ๐ ๐ผ๐ณ ๐๐ ๐ถ๐ป ๐ ๐ฎ๐ป๐๐ณ๐ฎ๐ฐ๐๐๐ฟ๐ถ๐ป๐ด? The #FDA recently issued a discussion paper on artificial intelligence in drug manufacturing. The paper aims to inform and facilitate early input from outside stakeholders. ๐๐๐ฎ ๐๐ฉ ๐๐๐ฉ๐ฉ๐๐ง๐จ: The Agency outlined in the paper areas for which public feedback would be valuable. Comments will help inform the Agencyโs evaluation and application of its risk-based regulatory framework to AI technologies in drug manufacturing. CDER and CBER stakeholders are invited to provide feedback on the following eight questions: 1. ๐๐ฉ๐ข๐ต ๐ต๐บ๐ฑ๐ฆ๐ด ๐ฐ๐ง ๐๐ ๐ข๐ฑ๐ฑ๐ญ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ฅ๐ฐ ๐บ๐ฐ๐ถ ๐ฆ๐ฏ๐ท๐ช๐ด๐ช๐ฐ๐ฏ ๐ฃ๐ฆ๐ช๐ฏ๐จ ๐ถ๐ด๐ฆ๐ฅ ๐ช๐ฏ ๐ฑ๐ฉ๐ข๐ณ๐ฎ๐ข๐ค๐ฆ๐ถ๐ต๐ช๐ค๐ข๐ญ ๐ฎ๐ข๐ฏ๐ถ๐ง๐ข๐ค๐ต๐ถ๐ณ๐ช๐ฏ๐จ? 2. ๐๐ณ๐ฆ ๐ต๐ฉ๐ฆ๐ณ๐ฆ ๐ข๐ฅ๐ฅ๐ช๐ต๐ช๐ฐ๐ฏ๐ข๐ญ ๐ข๐ด๐ฑ๐ฆ๐ค๐ต๐ด ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐ค๐ถ๐ณ๐ณ๐ฆ๐ฏ๐ต ๐ณ๐ฆ๐จ๐ถ๐ญ๐ข๐ต๐ฐ๐ณ๐บ ๐ง๐ณ๐ข๐ฎ๐ฆ๐ธ๐ฐ๐ณ๐ฌ (๐ฆ.๐จ., ๐ข๐ด๐ฑ๐ฆ๐ค๐ต๐ด ๐ฏ๐ฐ๐ต ๐ญ๐ช๐ด๐ต๐ฆ๐ฅ ๐ข๐ฃ๐ฐ๐ท๐ฆ) ๐ต๐ฉ๐ข๐ต ๐ฎ๐ข๐บ ๐ข๐ง๐ง๐ฆ๐ค๐ต ๐ต๐ฉ๐ฆ ๐ช๐ฎ๐ฑ๐ญ๐ฆ๐ฎ๐ฆ๐ฏ๐ต๐ข๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐๐ ๐ช๐ฏ ๐ฅ๐ณ๐ถ๐จ ๐ฎ๐ข๐ฏ๐ถ๐ง๐ข๐ค๐ต๐ถ๐ณ๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ด๐ฉ๐ฐ๐ถ๐ญ๐ฅ ๐ฃ๐ฆ ๐ค๐ฐ๐ฏ๐ด๐ช๐ฅ๐ฆ๐ณ๐ฆ๐ฅ ๐ฃ๐บ ๐๐๐? 3. ๐๐ฐ๐ถ๐ญ๐ฅ ๐จ๐ถ๐ช๐ฅ๐ข๐ฏ๐ค๐ฆ ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐ข๐ณ๐ฆ๐ข ๐ฐ๐ง ๐๐ ๐ช๐ฏ ๐ฅ๐ณ๐ถ๐จ ๐ฎ๐ข๐ฏ๐ถ๐ง๐ข๐ค๐ต๐ถ๐ณ๐ช๐ฏ๐จ ๐ฃ๐ฆ ๐ฃ๐ฆ๐ฏ๐ฆ๐ง๐ช๐ค๐ช๐ข๐ญ? ๐๐ง ๐ด๐ฐ, ๐ธ๐ฉ๐ข๐ต ๐ข๐ด๐ฑ๐ฆ๐ค๐ต๐ด ๐ฐ๐ง ๐๐ ๐ต๐ฆ๐ค๐ฉ๐ฏ๐ฐ๐ญ๐ฐ๐จ๐บ ๐ด๐ฉ๐ฐ๐ถ๐ญ๐ฅ ๐ฃ๐ฆ ๐ค๐ฐ๐ฏ๐ด๐ช๐ฅ๐ฆ๐ณ๐ฆ๐ฅ? 4. ๐๐ฉ๐ข๐ต ๐ข๐ณ๐ฆ ๐ต๐ฉ๐ฆ ๐ฏ๐ฆ๐ค๐ฆ๐ด๐ด๐ข๐ณ๐บ ๐ฆ๐ญ๐ฆ๐ฎ๐ฆ๐ฏ๐ต๐ด ๐ง๐ฐ๐ณ ๐ข ๐ฎ๐ข๐ฏ๐ถ๐ง๐ข๐ค๐ต๐ถ๐ณ๐ฆ๐ณ ๐ต๐ฐ ๐ช๐ฎ๐ฑ๐ญ๐ฆ๐ฎ๐ฆ๐ฏ๐ต ๐๐-๐ฃ๐ข๐ด๐ฆ๐ฅ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐ช๐ฏ ๐ข ๐๐๐๐ ๐ฆ๐ฏ๐ท๐ช๐ณ๐ฐ๐ฏ๐ฎ๐ฆ๐ฏ๐ต? 5. ๐๐ฉ๐ข๐ต ๐ข๐ณ๐ฆ ๐ค๐ฐ๐ฎ๐ฎ๐ฐ๐ฏ ๐ฑ๐ณ๐ข๐ค๐ต๐ช๐ค๐ฆ๐ด ๐ง๐ฐ๐ณ ๐ท๐ข๐ญ๐ช๐ฅ๐ข๐ต๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ฎ๐ข๐ช๐ฏ๐ต๐ข๐ช๐ฏ๐ช๐ฏ๐จ ๐ด๐ฆ๐ญ๐ง-๐ญ๐ฆ๐ข๐ณ๐ฏ๐ช๐ฏ๐จ ๐๐ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐ข๐ฏ๐ฅ ๐ธ๐ฉ๐ข๐ต ๐ด๐ต๐ฆ๐ฑ๐ด ๐ฏ๐ฆ๐ฆ๐ฅ ๐ต๐ฐ ๐ฃ๐ฆ ๐ค๐ฐ๐ฏ๐ด๐ช๐ฅ๐ฆ๐ณ๐ฆ๐ฅ ๐ต๐ฐ ๐ฆ๐ด๐ต๐ข๐ฃ๐ญ๐ช๐ด๐ฉ ๐ฃ๐ฆ๐ด๐ต ๐ฑ๐ณ๐ข๐ค๐ต๐ช๐ค๐ฆ๐ด? 6. ๐๐ฉ๐ข๐ต ๐ข๐ณ๐ฆ ๐ต๐ฉ๐ฆ ๐ฏ๐ฆ๐ค๐ฆ๐ด๐ด๐ข๐ณ๐บ ๐ฎ๐ฆ๐ค๐ฉ๐ข๐ฏ๐ช๐ด๐ฎ๐ด ๐ง๐ฐ๐ณ ๐ฎ๐ข๐ฏ๐ข๐จ๐ช๐ฏ๐จ ๐ต๐ฉ๐ฆ ๐ฅ๐ข๐ต๐ข ๐ถ๐ด๐ฆ๐ฅ ๐ต๐ฐ ๐จ๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ต๐ฆ ๐๐ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐ช๐ฏ ๐ฑ๐ฉ๐ข๐ณ๐ฎ๐ข๐ค๐ฆ๐ถ๐ต๐ช๐ค๐ข๐ญ ๐ฎ๐ข๐ฏ๐ถ๐ง๐ข๐ค๐ต๐ถ๐ณ๐ช๐ฏ๐จ? 7. ๐๐ณ๐ฆ ๐ต๐ฉ๐ฆ๐ณ๐ฆ ๐ฐ๐ต๐ฉ๐ฆ๐ณ ๐ข๐ด๐ฑ๐ฆ๐ค๐ต๐ด ๐ฐ๐ง ๐ช๐ฎ๐ฑ๐ญ๐ฆ๐ฎ๐ฆ๐ฏ๐ต๐ช๐ฏ๐จ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด (๐ช๐ฏ๐ค๐ญ๐ถ๐ฅ๐ช๐ฏ๐จ ๐๐-๐ฃ๐ข๐ด๐ฆ๐ฅ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด) ๐ง๐ฐ๐ณ ๐ฑ๐ฉ๐ข๐ณ๐ฎ๐ข๐ค๐ฆ๐ถ๐ต๐ช๐ค๐ข๐ญ ๐ฎ๐ข๐ฏ๐ถ๐ง๐ข๐ค๐ต๐ถ๐ณ๐ช๐ฏ๐จ ๐ธ๐ฉ๐ฆ๐ณ๐ฆ ๐ง๐ถ๐ณ๐ต๐ฉ๐ฆ๐ณ ๐จ๐ถ๐ช๐ฅ๐ข๐ฏ๐ค๐ฆ ๐ธ๐ฐ๐ถ๐ญ๐ฅ ๐ฃ๐ฆ ๐ฉ๐ฆ๐ญ๐ฑ๐ง๐ถ๐ญ? 8. ๐๐ณ๐ฆ ๐ต๐ฉ๐ฆ๐ณ๐ฆ ๐ข๐ด๐ฑ๐ฆ๐ค๐ต๐ด ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐ข๐ฑ๐ฑ๐ญ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐๐ ๐ช๐ฏ ๐ฑ๐ฉ๐ข๐ณ๐ฎ๐ข๐ค๐ฆ๐ถ๐ต๐ช๐ค๐ข๐ญ ๐ฎ๐ข๐ฏ๐ถ๐ง๐ข๐ค๐ต๐ถ๐ณ๐ช๐ฏ๐จ ๐ฏ๐ฐ๐ต ๐ค๐ฐ๐ท๐ฆ๐ณ๐ฆ๐ฅ ๐ช๐ฏ ๐ต๐ฉ๐ช๐ด ๐ฅ๐ฐ๐ค๐ถ๐ฎ๐ฆ๐ฏ๐ต ๐ต๐ฉ๐ข๐ต ๐๐๐ ๐ด๐ฉ๐ฐ๐ถ๐ญ๐ฅ ๐ค๐ฐ๐ฏ๐ด๐ช๐ฅ๐ฆ๐ณ? #artificialintelligence, #drugdevelopment, #regulatoryaffairs
Daniela Drago Thank you for sharing and continuing to be a leader in regulatory intelligence on LinkedIn! ๐ Matthew Pillar Blair McNeill
Thanks, Daniela Drago -- our FDA gives opinions on one of the important functions of Advanced Manufacturing for our "Bio" / FDA-regulated industries.
Thanks for sharing Daniela Drago.
Animal Advocate | Strategist | Navy Veteran
1yThanks for sharing this! An excellent read from last monthโs issue highlighting the sheer power of AI in computational biology: โโฆthe number of possible molecules that might make drugs, according to the rules of organic chemistry, is 10^33 (other estimates have put the number of drug-like molecules even higher, in the realm of 10^60).โCompare that number to 10 million and you see weโre not even fishing in a tide pool next to the ocean,โ Prakash says. โWeโre fishing in a droplet.โ https://www-technologyreview-com.cdn.ampproject.org/c/s/www.technologyreview.com/2023/02/15/1067904/ai-automation-drug-development/amp/