Computationally reconstructing the evolution of cancer progression risk.

Kefan Cao1, Russell Schwartz2,3

  • 1Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA.

Summary

This study uses computational methods and tumor phylogenetics to model early cancer evolution. Findings reveal general risk development mechanisms but highlight significant individual variability, impacting early diagnosis potential.

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