Deep Learning‐Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening

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...

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Veröffentlicht in:	International Journal of Laboratory Hematology 2025-02, Vol.47 (1), p.120-129
Hauptverfasser:	De Almeida Braga, Cédric, Bauvais, Maxence, Sujobert, Pierre, Heiblig, Maël, Jullien, Maxime, Le Calvez, Baptiste, Richard, Camille, Le Roc'h, Valentin, Rault, Emmanuelle, Hérault, Olivier, Peterlin, Pierre, Garnier, Alice, Chevallier, Patrice, Bouzy, Simon, Le Bris, Yannick, Néel, Antoine, Graveleau, Julie, Kosmider, Olivier, Paul‐Gilloteaux, Perrine, Normand, Nicolas, Eveillard, Marion
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial intelligence Computer Science Deep Learning Female Hematology Human health and pathology Humans Image Processing Life Sciences Male multilabel classification Mutation Myelodysplastic Syndromes - blood Myelodysplastic Syndromes - diagnosis Myelodysplastic Syndromes - genetics Neural networks Neutrophils - pathology Peripheral blood polymorphonuclears Sensitivity analysis Statistical analysis Ubiquitin-Activating Enzymes - genetics Vacuoles VEXAS
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