Scientists seek to improve stem cell transplant outcomes using DNA sequencing, mathematical modeling

Is the human immune system similar to the weather, a seemingly random yet dynamical system that can be modeled based on past conditions to predict future states? Scientists at VCU Massey Cancer Center's award-winning Bone Marrow Transplant Program believe it is, and they recently published several studies that support the possibility of using next-generation DNA sequencing and mathematical modeling to not only understand the variability observed in clinical outcomes of stem cell transplantation, but also to provide a theoretical framework to make transplantation a possibility for more patients who do not have a related donor.

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