Xintao Hu

This paper develops a machine-learning model using cfDNA fragmentation patterns to predict early-onset severe preeclampsia with high accuracy in early pregnancies and NIPT samples.

This study evaluates the test-retest reliability of functional connectivity networks during naturalistic fMRI paradigms and finds improved reliability compared to resting state conditions.