Gregory Y.H. Lip

The paper identifies a plasma RNA signature linked to MAPK14-related inflammatory signaling as a potential marker for postoperative atrial fibrillation susceptibility.

This paper develops a computational fluid dynamics model of the left atrium in atrial fibrillation patients and uses machine learning to predict stroke risk indicators, finding that deep learning models achieve high accuracy.