薬剤の未来:薬剤の発見と開発における人工知能
Chen Fu1,2, Qiuchen Chen1,3
1Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.
Journal of pharmaceutical analysis
|September 2, 2025
まとめ
人工知能 (AI) はデータとアルゴリズムを統合することで 薬剤開発の効率化とコスト削減に 変化をもたらしています AIはデータとIPの課題にもかかわらず 標的の特定から臨床試験までの研究を加速します
科学分野:
- 医薬品科学
- コンピュータ生物学
- バイオテクノロジー
背景:
- 伝統的な薬の発見は 長く高価です
- 人工知能 (AI) は,効率と成功率を高めるための潜在的な解決策を提供します.
- 機械学習 (ML) とディープラーニング (DL) は,AIの進歩を推進する重要な技術です.
研究 の 目的:
- 薬の発見と開発に AIがもたらす革命的な影響を 探求すること
- 標的の検証から臨床試験までの様々な段階における AIの役割を強調します
- 医薬品におけるAIの現在の課題と将来の可能性を特定する.
主な方法:
- 人工知能をデータと 計算能力と統合する
- MLとDLアルゴリズムの適用
- 分子生成と仮想スクリーニング技術を活用する.
主要な成果:
- AIは薬物の研究における 効率性,正確性,成功率を高めます
- 開発時間は短縮され,コストも削減されます.
- AIは標的の発見や 薬剤の設計や臨床試験のプロセスを加速します
結論:
- AIは薬の発見と開発の効率を大幅に改善します
- 課題はデータ共有,知的財産,湿/乾燥実験を統合することです.
- 人工知能による治療は 製薬業界に大きな影響を与えるでしょう
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