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OPTIMIZATION AND INDIVIDUALIZATION OF MEDICATION SELECTION AND DOSING

机译:药物选择和剂量的优化和个性化

摘要

#$%^&*AU2018201123A120180308.pdf#####ABSTRACT The invention provides population models, methods, and algorithms for targeting a dosing regimen or compound selection to an individual patient. The method and algorithms of the invention utilize population models that incorporate genotype information for genes encoding drug metabolizing enzymes for one or more compounds of interest. The methods allow integration of genotype information for one or more genes encoding a drug metabolizing enzyme, particularly a cytochrome P450 gene with patient data. The methods allow integration of genotype information and the effect of one or more compounds on one or more drug metabolizing enzymes. The methods allow iterative feedback of drug metabolizing data obtained from a patient into the process of generating a dosage regimen recommendation for a compound of interest for an individual patient.
机译:#$%^&* AU2018201123A120180308.pdf #####抽象本发明提供了人口模型,方法和算法,用于针对个体患者的给药方案或化合物选择。方法和本发明的算法利用结合了基因型的种群模型一种或多种化合物的编码药物代谢酶的基因信息利益。该方法允许整合一个或多个基因的基因型信息编码药物代谢酶,尤其是患者的细胞色素P450基因数据。该方法允许整合基因型信息和一种或多种作用一种或多种药物代谢酶上的化合物。该方法允许迭代从患者获得的药物代谢数据反馈到生成药物的过程中个别患者感兴趣的化合物的剂量方案推荐。

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