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Updated: Sep 9, 2025

Formation of Dispersible Taohong Siwu Tablets
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発泡剤の製造における人工知能の活用: レビュー

K P Arunraj1,2, K M Haritha1,2, M T Khulood1,2

  • 1College of Pharmaceutical Sciences, Government Medical College, Kozhikode, 673008, Kerala, India.

Mini reviews in medicinal chemistry
|September 5, 2025
PubMed
まとめ

人工知能 (AI) は,配列を最適化し,性能を予測することで,発泡タブレット (ET) の開発に革命をもたらしています. 人工知能は 安定性,分解性,味の隠蔽性を高め パーソナライズされたETの道を開きます

キーワード:
人工知能人工ニューラルネットワークコンピューター・アシストド・ドラッグ・デザイン発泡剤 タブレット調理方法味の隠し方を改善する機械学習

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Solid dosage forms such as tablets and capsules undergo rigorous manufacturing processes to ensure stability and effectiveness. Their dissolution and absorption properties are influenced significantly by the choice of excipients (inactive ingredients that serve various roles in the formulation), and the methodology applied during production. The manufacturing parameters, such as compression force and granulation techniques, significantly affect dissolution rates. Elevated compression forces...
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