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Editorial: Traditional clinical symptoms and signs: how can they be used to investigate medications in the context of pharmacology?

Gao, K; Heinrich, M; Yang, G; Zhao, HH; Zhou, XZ; Li, S; (2025) Editorial: Traditional clinical symptoms and signs: how can they be used to investigate medications in the context of pharmacology? Frontiers in Pharmacology , 16 , Article 1588000. 10.3389/fphar.2025.1588000. Green open access

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Type: Article
Title: Editorial: Traditional clinical symptoms and signs: how can they be used to investigate medications in the context of pharmacology?
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fphar.2025.1588000
Publisher version: https://doi.org/10.3389/fphar.2025.1588000
Language: English
Additional information: This work is licensed under a Creative Commons License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Artificial intelligence, clinical symptoms and signs, image recognition, medication, network pharmacology, personalized medicine, symptom phenotype, traditional medicine
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Pharma and Bio Chemistry
URI: https://discovery.ucl.ac.uk/id/eprint/10207633
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