Anandi Krishnan

This study compares platelet and leukocyte transcriptomes in MPN patients, finding platelets better capture myelofibrosis signatures and provide more accurate diagnosis.

This study quantifies coagulation changes after traumatic injury and links them to injury severity and mortality.

This paper identifies 32 genes with altered expression in platelets from MPN patients, linking them to thrombosis and bleeding risks, and suggests clinical applications for risk stratification and treatment tailoring.

The paper identifies platelet transcriptome markers for predicting disease progression in MPNs and develops a machine learning model to predict advanced MF with high accuracy.