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Ronald: A Domain-Specific Language to study the interactions between malaria infections and drug treatments

机译:罗纳德:一种具体的域名语言,用于研究疟疾感染和药物治疗之间的相互作用

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Malaria kills more than 1 million people a year, mostly children in sub-Saharan Africa. Antimalarial drug resistance is one of the greatest challenges facing malaria control today. We present Ronald, a Domain-Specific Language to model the fundamental forces driving antimalarial drug resistance including drug pharmacokinetics and pharmacodynamics, drug regimens and parasite genotypes. Example of applications of this language include the study of the consequences of counterfeit or lower quality drugs, the implications of different dosage regimens, the impact of drug half life on the emerging and spread of resistance and the benefits and drawbacks of combination therapies, among many others.
机译:疟疾每年杀死超过100万人,主要是撒哈拉以南非洲的儿童。抗疟药抗性是当今疟疾控制面临的最大挑战之一。我们呈现罗纳德,一种特定于域的语言来模拟驱动抗疟疾耐药性,包括药物药代动力学和药物动力学,药物方案和寄生虫基因型的基本力量。这种语言的应用程序的示例包括研究伪造或较低质量的药物的后果,不同剂量方案的影响,毒品半衰期对抗性的影响以及组合疗法的益处和缺点的影响以及组合疗法的兴趣和缺点。其他。

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