Deep Learning-Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening.
Journal:
International journal of laboratory hematology
Published Date:
Sep 14, 2024
Abstract
INTRODUCTION: VEXAS is a syndrome described in 2020, caused by mutations of the UBA1 gene, and displaying a large pleomorphic array of clinical and hematological features. Nevertheless, these criteria lack significance to discriminate VEXAS from other inflammatory conditions at the screening step. This work hence first focused on singling out dysplastic features indicative of the syndrome among peripheral blood (PB) polymorphonuclears (PMN). A deep learning algorithm is then proposed for automatic detection of these features.