quantitative modeling of chronic myeloid leukemia: insights from radiobiology by tomas...
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Quantitative modeling of chronic myeloid leukemia: insights from radiobiology
by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs
BloodVolume 119(19):4363-4371
May 10, 2012
©2012 by American Society of Hematology
Cell population dynamic CML models.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
TKI discontinuation possibilities illustrate deterministic versus stochastic modeling differences.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
CML latency time T. T is here considered as a random variable, that is, a quantity described by a probability density because it may fluctuate from case to case in a way not (yet) fully predictable.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
Atomic bomb survivor waiting times.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
Age dependence of background CML incidence and translocation prevalence.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
CML incidence versus age at radiation exposure for different dose groups.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
Proximity effects.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology