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Updated: Jan 9, 2026

A Tripeptide-Stabilized Nanoemulsion of Oleic Acid
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AttBiLSTM_DE:使用词嵌入和基于注意力的优化BiLSTM框架来增强抗癌预测.

Most Jebun Nahar Juthy1,2, S M Hasan Mahmud3,4, Md Faruk Hosen5,6

  • 1Department of ICT, Mawlana Bhashani Science and Technology University (MBSTU), Santosh, 1902, Tangail, Bangladesh.

Scientific reports
|December 1, 2025
PubMed
概括

这项研究介绍了AttBiLSTM_DE,一个使用深度学习的计算框架,用于准确预测抗癌 (ACP). 这种人工智能驱动的方法加速了新型癌症治疗方法的发现,改善了患者的治疗结果.

关键词:
抗癌是一种抗癌.注意力机制注意力机制双向的LSTM是一个双向的LSTM.不同进化演变的差异化.嵌入字体 嵌入字体

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