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Archive > Volume 16 Issue 4 > 2024,16(4):558-560. DOI:https://doi.org/10.1016/j.chmed.2024.08.004 Prev Next

人工智能時代的中藥網(wǎng)絡藥理學

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Network pharmacology for traditional Chinese medicine in era of artificial intelligence artificial intelligence

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    摘要:


    Abstract:
    Traditional Chinese Medicine Network Pharmacology (TCM-NP) is an interdisciplinary discipline that integrates information science, systems biology, network science and pharmacology, providing a systematic research methodology for TCM studies. With the development of artificial intelligence (AI) and multi-omics technologies, TCM-NP has entered a new era and can incorporate multimodal and high-dimensional data in the context of big data to enhance both theoretical foundations and technical capabilities. Despite its advancement, TCM-NP still faces challenges, particularly in ensuring the quality of data and research, as well as achieving more profound scientific discoveries. The field needs further innovation to obtain more precise and biomedically meaningful results. Overall research progress in TCM-NP depends on developing more accurate algorithms together with utilizing higher-quality and larger-scale data. This paper gives a perspective on the trends and characteristics of TCM-NP development and application in the era of AI.

    關(guān)鍵詞:
    人工智能; 網(wǎng)絡藥理學; 中醫(yī)藥

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    Project Supported:
    中醫(yī)藥網(wǎng)絡藥理學（TCM- NP）是一門集信息科學、系統(tǒng)生物學、網(wǎng)絡科學和藥理學于一體的跨領(lǐng)域?qū)W科，為中醫(yī)藥研究提供了系統(tǒng)的研究方法。隨著人工智能和多組學技術(shù)的發(fā)展，TCM- NP進入了一個新時代，可以在大數(shù)據(jù)背景下整合多模態(tài)、高維數(shù)據(jù)，增強理論基礎(chǔ)和技術(shù)能力。盡管取得了進步，但TCM- NP仍然面臨挑戰(zhàn)，特別是在確保數(shù)據(jù)和研究的質(zhì)量以及取得更深刻的科學發(fā)現(xiàn)方面。該領(lǐng)域需要進一步創(chuàng)新，以獲得更精確和有生物醫(yī)學意義的結(jié)果。TCM- NP的整體研究進展取決于開發(fā)更精確的算法以及利用更高質(zhì)量和更大規(guī)模的數(shù)據(jù)。本文對人工智能時代TCM- NP發(fā)展與應用的趨勢和特點進行了展望。

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