Comment on “Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics as a practical strategy to differentiate ginseng species”

Li Ping

doi:10.1016/j.jpha.2025.101231

Volume 15 Issue 2

Feb. 2025

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Li Ping. Comment on “Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics as a practical strategy to differentiate ginseng species”[J]. Journal of Pharmaceutical Analysis, 2025, 15(2): 101231. doi: 10.1016/j.jpha.2025.101231

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Li Ping. Comment on “Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics as a practical strategy to differentiate ginseng species”[J]. Journal of Pharmaceutical Analysis, 2025, 15(2): 101231. doi: 10.1016/j.jpha.2025.101231

Citation:

Li Ping. Comment on “Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics as a practical strategy to differentiate ginseng species”[J]. Journal of Pharmaceutical Analysis, 2025, 15(2): 101231. doi: 10.1016/j.jpha.2025.101231

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Comment on “Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics as a practical strategy to differentiate ginseng species”

doi: 10.1016/j.jpha.2025.101231

Li Ping^,

State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, China

Available Online: Mar. 07, 2025
Publish Date: Mar. 03, 2025

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References(5)

References

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[3]	D. Li, J. Hu, L. Zhang, et al., Deep learning and machine intelligence: New computational modeling techniques for discovery of the combination rules and pharmacodynamic characteristics of traditional Chinese medicine, Eur. J. Pharmacol. 933 (2022), 175260.
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[5]	H.A.A. Noreldeen, S. He, G. Wu, et al., Deep convolutional neural network-based 3D fluorescence sensor array for sugar identification in serum based on the oxidase-mimicking property of CuO nanoparticles, Talanta 280 (2024), 126679.