Intelligent Pharmacy's applications of cyclosporine

Zhiqi Zhang, Ying Zhou

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Intelligent Pharmacy ›› 2023, Vol. 1 ›› Issue (4) : 167-168. DOI: 10.1016/j.ipha.2023.04.014
Editorial

Intelligent Pharmacy's applications of cyclosporine

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Abstract

Cyclosporine (CsA) is a classical immunosuppressant that requires therapeutic drug monitoring to determine efficacy and adverse effects due to the individualized nature of its drug metabolism. Emerging computer technology has helped to give birth to new approaches to drug therapy. Pharmacokinetic models are used to identify covariates affecting efficacy, predict changes in cyclosporine metabolism and assist in the individualization of CsA treatment. Machine learning algorithms can be used to predict CsA concentrations and adverse events, big data mining can identify rare adverse reactions to CsA in the real world, and the application of internet-based home pharmacy services will yield long-term patient follow-up data. In the future, we will use more computer technology in combination with drug therapy to provide patients with a full range of pharmacy services.

Keywords

Intelligent pharmacy / Cyclosporine / Pharmacokinetic model / Machine learning / Big data

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Zhiqi Zhang, Ying Zhou. Intelligent Pharmacy's applications of cyclosporine. Intelligent Pharmacy, 2023, 1(4): 167‒168 https://doi.org/10.1016/j.ipha.2023.04.014

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2023 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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