Borna Mehrad

This study identifies pathogenic yeasts in e-cigarettes that can cause lung disease in mice.

This paper develops an algorithm to calibrate agent-based computational models to individual patients using data assimilation techniques for personalized medicine.

This study shows hepcidin deficiency increases susceptibility to Candida albicans infection by promoting fungal growth and kidney damage, and suggests hepcidin mimetics as a potential treatment.

This study shows hemopexin reduces fungal lung injury by limiting heme-mediated NETosis in aspergillosis.

The paper uses a computational model to simulate immune responses and identify factors contributing to CAPA in immunocompetent patients with severe SARS-CoV2.

This study develops a multiscale computational model of invasive aspergillosis to identify key factors determining infection outcome, finding that fungal growth, iron acquisition, and leukocyte activation are critical.