Deep learning ResNet34 model-assisted diagnosis of sickle cell disease via microcolumn isoelectric focusing

The study proposes a ResNet34 DL model for automated SCD diagnosis using mIEF for Hb S, achieving 90.1% accuracy in classifying Hb variants. The model's precision suggests it could reduce costs and the reliance on the need for expert diagnosis.