Yousof Gheisari

This study compares histopathological features of three diabetic kidney disease models, finding that Akita and STZ models show clear structural changes while db/db models require electron microscopy for accurate assessment.

DrugTar improves druggability prediction by integrating sequence embeddings and gene ontologies, achieving high performance in target discovery.

This paper develops a pipeline called SPADAN to construct genome-scale dynamic models from time-course experimental data, enabling quantitative predictions of cellular behavior.

The paper identifies changes in olfactory receptor expression during kidney fibrosis progression using systems biology and experimental validation in a mouse model.