E. A. B. F. Lima

Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth

The paper develops a Bayesian-calibrated multiscale agent-based model to predict tumor growth using microscopy data, achieving reliable predictions with low error and standard deviation.

Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect

This paper investigates cancer cell growth at low densities and finds that an Allee effect model better describes growth kinetics than exponential growth, suggesting cooperative behavior among cells.