Andrea J. Hawkins-Daarud

The paper develops a Bayesian framework to quantify uncertainty in a glioblastoma treatment response metric, showing robustness across a range of cutoff values for predicting time to progression.

The paper introduces a hybrid method to estimate parameters in agent-based models using glioblastoma data to improve model calibration.

The paper introduces MultiCellDS, a standard and community-driven initiative for sharing multicellular data to enhance research in cell biology.

The paper introduces MultiCellDS, a standard for multicellular data curation, and presents MultiCellDB as a database to store associated data, enhancing data sharing and utility in biological and clinical research.