Thalassemia Carrier

Thalassemia carrier detection aims to identify individuals carrying genes for this inherited blood disorder, enabling early intervention and genetic counseling. Current research focuses on developing faster, cheaper, and more accessible diagnostic tools, employing machine learning techniques such as deep convolutional neural networks and federated learning to analyze diverse data sources like blood cell images and complete blood counts. These advancements hold significant promise for improving thalassemia screening, particularly in resource-limited settings, and ultimately reducing the global burden of this disease.