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AIが発見した新薬候補の成功率が80%超え

15/9/2025

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「AIが発見した新薬候補の成功率が80%超え」——そんな驚きのニュースが、製薬・化学業界で話題になっています。人工知能(AI)は、これまで長い年月と莫大な費用がかかっていた創薬のプロセスを劇的に変える力を持っており、2025年までに新薬の30%はAIによって発見されるという予測も出ています。
しかし、この技術革新の裏側で、企業は新たな課題に直面しています。それは「AIが生み出した発明の特許をどうやって確保するか?」という問題です。
「Navigating the Future: Ensuring Patentability for AI-Assisted Innovations in the Pharmaceutical and Chemical Space」には、AI創薬時代を勝ち抜くための特許戦略のポイントが分かりやすくご紹介されています。
AI創薬時代を勝ち抜くための特許戦略のポイントを、生成AIに分かりやすく整理して説明するよう指示して報告させました。
なお、生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
Navigating the Future: Ensuring Patentability for AI-Assisted Innovations in the Pharmaceutical and Chemical Space
July/August 2025
https://www.finnegan.com/en/insights/articles/navigating-the-future-ensuring-patentability-for-ai-assisted-innovations-in-the-pharmaceutical-and-chemical-space.html?utm_source=chatgpt.com
 
変革期を迎える製薬業界― AIと医療ビッグデータ―
https://www.mitsui.com/mgssi/ja/report/detail/__icsFiles/afieldfile/2025/01/08/2411kinoshita0108_1.pdf
 
 
AI-Discovered Drug Candidates Exceed 80% Success Rate
“AI-discovered drug candidates have achieved a success rate of over 80%”—this astonishing news is creating a buzz in the pharmaceutical and chemical industries. Artificial intelligence (AI) has the power to dramatically transform the drug discovery process, which until now required many years and enormous costs. Some forecasts even predict that by 2025, 30% of new drugs will be discovered through AI.
However, behind this technological breakthrough, companies are facing a new challenge: How can they secure patents for inventions generated by AI?
The paper “Navigating the Future: Ensuring Patentability for AI-Assisted Innovations in the Pharmaceutical and Chemical Space” provides a clear overview of key patent strategies necessary to thrive in the era of AI-driven drug discovery.
I instructed a generative AI to clearly organize and explain the key points of patent strategies for surviving in the era of AI-driven drug discovery, and had it generate a report.
Please note that the research and analysis results produced by the generative AI are based solely on publicly available information, and they do not necessarily reflect actual circumstances; they may also contain inaccuracies. Kindly keep this in mind when referring to the report.
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