Application of artificial neural network model in bioequivalence study of candesartan cilexetil tablets

Author: Yin HU ¹ ; Dandan YANG ¹ ; Yichao XU ¹ ; Rong SHAO ¹ ; Zourong RUAN ¹ ; Bo JIANG ¹ ; Jinliang CHEN ¹ ; Honggang LOU ¹
Author Information

1. Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine
Publication Type:Journal Article
Keywords: Artificial neural network; Bioequivalence; Candesartan cilexetil tablet; Plasma concentration; Precision medicine
From: Chinese Journal of Clinical Pharmacology and Therapeutics 2022;27(1):63-69
CountryChina
Language:Chinese
Abstract: AIM: To evaluate the bioequivalence of two candesartan cilexetil tablet formulations in healthy Chinese subjects after administration of a single dose, and an artificial neural network model was established to predict the candesartan plasma concentration, and provide a basis for clinical rational use of drugs. METHODS: Thirty-two healthy Chinese subjects were enrolled for oral administration of a single 8 mg dose of candesartan cilexetil tablet (test or reference product) under fasting or fed conditions to conduct a bioequivalence study. The bioequivalence results were used to build a back-propagation artificial neural network model by MATLAB software, and the model was internally and externally verified to predict the plasma concentration. RESULTS: Under both fasting and fed conditions, the C