Estimating treatment sensitivity in synthetic and in vitro tumors using a random differential ...

Summary

The article explores using data visualization in modeling phenotypic heterogeneity in cancer treatment sensitivity, employing probability distributions to describe cells' reactions to radiation therapy. The relation between normal distribution and inverse problems is key to illustrating tumor growth curves and estimating underlying sensitivity distributions from aggregate data.