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A numerical approach for a discrete Markov model for progressing drug resistance of cancer

机译:离散马尔可夫模型用于提高癌症耐药性的数值方法

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Author summary Drug therapies for cancer have dramatically succeeded since molecular-targeted drugs have been introduced in medical practice; however, drug treatment often fails owing to the emergence of drug-resistant cells. A variety of approaches, including mathematical modeling, has been undertaken to clarify the mechanism of resistance and subsequently avoid resistance to therapy. This paper proposes one of the mathematical approaches that uses a stochastic model and provides the emerging probabilities of resistance at detection size.
机译:自从将分子靶向药物引入医学实践以来,用于癌症的药物治疗取得了巨大的成功。然而,药物治疗常常由于耐药细胞的出现而失败。已经采取了包括数学模型在内的多种方法来阐明耐药性的机理,并随后避免对治疗的耐药性。本文提出了一种使用随机模型的数学方法,并提供了在检测尺寸下出现电阻的新兴可能性。

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