Sara Hamis

140 Years of mathematical modeling in oncology through AI-assisted curation

This paper curates a large corpus of mathematical oncology literature using AI, revealing its evolution from cancer biology to therapeutic modeling over 140 years.

Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma

The paper develops a model to show phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma and suggests intermittent treatments may be more effective.

Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model

This paper develops a stochastic model to assess the identifiability of phenotypic adaptation parameters from low-cell-count experiments and shows that cell-to-cell heterogeneity is non-identifiable from population-level data.

Inferring cell dynamics in stress-induced neuroblastoma cell cultures

The paper quantifies cell dynamics and interactions in neuroblastoma cell cultures under stress, finding that cell-to-cell interactions drive phenotypic adaptation, which accelerates with lower nutrient levels.

Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells

This study uses mathematical models to show that spatial factors influence drug response and competition between drug-sensitive and drug-resistant cancer cells.

Iterative community-driven development of a SARS-CoV-2 tissue simulator

Open-source agent-based PhysiCell model of SARS-CoV-2 infection in lung epithelium; version 5 clears virus in about 6 days in simulation, and delayed T cell arrival increases epithelial loss.