Logistic tumor-population growth and ghost-points symmetry
S. Pasetto, I. Harshe, R. Brady, R. Gatenby, H. Enderling
This paper introduces a method using logistic function symmetry to estimate tumor growth parameters from limited data, achieving faster and more accurate results than conventional regression approaches.
bioRxiv · Aug 30, 2023 · PreprintCancer Biology