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.
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Type: | Article |
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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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