Deciphering oxygen distribution and hypoxia profiles in the tumor microenvironment: a data-driven mechanistic modeling approach.

Pawan KumarMatthieu LacroixPierrick DupréJanan ArslanLise FenouBeatrice OrsettiLaurent Le CamDaniel RacoceanuOvidiu Radulescu

Published in: Physics in medicine and biology (2024)

The proposed data-informed mechanistic method quantitatively assesses hypoxia in the tumormicroenvironment by integrating diverse histopathological data and making predictionsacross different types of data. The framework contributes valuable insights from bothmodeling and biological perspectives, advancing our comprehension of spatio-temporaldynamics of tumor oxygenation.

Keyphrases

electronic health record
big data
endothelial cells
stem cells
data analysis
machine learning
artificial intelligence
deep learning