论文标题
进展，检测和缓解：使用三阶段概率模型的慢性髓样白血病的演变
Progression, Detection and Remission: Evolution of Chronic Myeloid Leukemia using a three-stage probabilistic model
论文作者
论文摘要
我们提出了一个三阶段的概率模型，用于慢性髓样白血病（CML）的进展，如白血病干细胞，祖细胞和成熟的白血病细胞所表现出来。通过细胞分裂和细胞突变的过程捕获了这种进展，并将发生的概率分配给了两个。 The key contributions of this study include, the determination of the expected number of the leukemic stem cells, progenitor cells, mature leukemic cells, as well as total number of these cells (in terms of probabilities, and contingent on the initial cell count), expected time to reach a threshold level of total and injurious leukemic cells, as well as the critical time when the disease changes its phases, the probability of extinction of CML, and the dynamics of CML基本疗法造成的进化。最后，通过数值插图证明了获得的结果。
We present a three-stage probabilistic model for the progression of Chronic Myeloid Leukemia (CML), as manifested by the leukemic stem cells, progenitor cells and mature leukemic cells. This progression is captured through the process of cell division and cell mutation, with probabilities of occurrence being assigned to both of them. The key contributions of this study include, the determination of the expected number of the leukemic stem cells, progenitor cells, mature leukemic cells, as well as total number of these cells (in terms of probabilities, and contingent on the initial cell count), expected time to reach a threshold level of total and injurious leukemic cells, as well as the critical time when the disease changes its phases, the probability of extinction of CML, and the dynamics of CML evolution consequent to primary therapy. Finally, the results obtained are demonstrated with numerical illustrations.
