Adaptive Neuro-Fuzzy Modeling of Poorly Soluble Drug Formulations

Dionysios Douroumis; Leontios J. Hadjileontiadis; Alfred Fahr

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Adaptive Neuro-Fuzzy Modeling of Poorly Soluble Drug Formulations

机译：难溶性药物配方的自适应神经模糊建模

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摘要

The purpose of this study was to evaluate the efficiency of a neuro-fuzzy logic-based methodology to model poorly soluble drug formulations and predict the development of the particle size that has been proven to be an important factor for long-term stability.

机译：这项研究的目的是评估基于神经模糊逻辑的方法对难溶性药物制剂进行建模的效率，并预测粒径的变化，事实证明该粒径是长期稳定性的重要因素。

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来源
《Pharmaceutical Research》 |2006年第6期|1157-1164|共8页
作者
Dionysios Douroumis; Leontios J. Hadjileontiadis; Alfred Fahr;
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作者单位

Phoqus Pharmaceuticals Limited 10 Kings Hill Avenue Kings Hill West Malling Kent ME19 4PQ UK;

Department of Electrical and Computer Engineering Aristotle University of Thessaloniki 54124 Thessaloniki Greece;

Department of Pharmaceutical Technology University of Jena Lessing Strasse 8 D-07743 Jena Germany;

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原文格式 PDF
正文语种 eng
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关键词
adaptive neuro-fuzzy inference system (ANFIS); formulation development; neuro-fuzzy modeling; particle size; poorly soluble drugs;

机译：自适应神经模糊推理系统（ANFIS）;配方开发;神经模糊建模;粒径;难溶性药物;

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专利

1. Adaptive neuro-fuzzy modeling of poorly soluble drug formulations. [J] . Douroumis D, Hadjileontiadis LJ, Fahr A Pharmaceutical research . 2006,第6期

机译：难溶性药物制剂的自适应神经模糊建模。
2. Prediction of solubility of some statin drugs in supercritical carbon dioxide using classification and regression tree analysis and adaptive neuro-fuzzy inference systems [J] . Zarei K., Taheri F. Russian Chemical Bulletin . 2016,第4期

机译：使用分类回归树分析和自适应神经模糊推理系统预测某些他汀类药物在超临界二氧化碳中的溶解度
3. Prediction of solubility of some statin drugs in supercritical carbon dioxide using classification and regression tree analysis and adaptive neuro-fuzzy inference systems [J] . Zarei K., Taheri F. Russian Chemical Bulletin . 2016,第4期

机译：使用分类和回归树分析及自适应神经模糊推理系统预测一些他汀类药物在超临界二氧化碳中的溶解性
4. NANOSUSPENSIONS AS PROMISING PERORAL FORMULATIONS FOR POORLY SOLUBLE DRUGS: IN-VITRO SOLUBILITY AND INTESTINAL TRANSPORT STUDIES [C] . T. Ohlig, G. Vergnault, P. Grenier, International symposium on controlled release of bioactive materials;Consumer diversified products conference . 2001

机译：纳米悬浮液作为难溶性药物的口服配方：体外溶解度和肠道运输研究
5. Investigation of Amorphous Solid Dispersions for Solubility Enhancement of Poorly Water-Soluble Drugs: Understanding the Effect of Material Properties on Amorphous Drug Crystallization and the Impact on Formulation Performance [D] . Ojo, Andrew Olutoye. 2021

机译：对水溶性药物溶解性增强的无定形固体分散体的研究：了解材料性质对非晶药物结晶的影响及对配制性能的影响
6. Modeling of paclitaxel biosynthesis elicitation in Corylus avellana cell culture using adaptive neuro-fuzzy inference system-genetic algorithm (ANFIS-GA) and multiple regression methods [O] . Siamak Farhadi, Mina Salehi, Ahmad Moieni, 2020

机译：使用自适应神经模糊推理系统 - 遗传算法（ANFIS-GA）和多元回归方法植物植物植物生物合成诱导紫杉醇生物合成诱导的建模
7. A Micellar Mitotane Formulation with High Drug Loading and Solubility: Physico-Chemical Characterization and Cytotoxicity Studies in 2D and 3D in Vitro Tumor Models. [O] . Malik Salman Haider, Jochen Schreiner, Sabine Kendl, 2019

机译：具有高药物载荷和溶解度的胶束测定型制剂：2D和3D体外肿瘤模型中的物理化学表征和细胞毒性研究。

Adaptive Neuro-Fuzzy Modeling of Poorly Soluble Drug Formulations

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