GlomoFinder

GlomoFinder

About

GlomoFinder transforms kidney biopsy analysis with an advanced online tool that uses computer vision to enhance diagnostic speed and precision. By analysing digital biopsy samples, the tool generates detailed reports on glomerular conditions, including quantification and categorisation, within 0.5 to 1 minute. Leveraging state-of-the-art image-processing algorithms, it significantly reduces processing time and improves accuracy compared to traditional methods. The system supports large-scale image data handling and is designed for high-throughput analysis

Team

Nada Elnaggar

Nada Elnaggar

Helwan University

An Egyptian Medical Informatics Specialist. I studied in the Faculty of Computer Science and Artificial Intelligence at Helwan University. I engaged in a couple of scientific articles between research and review articles in the tech field. In addition, I am a teaching assistant at AOU, and I am also majoring in SW quality and testing.My passion is in the field of digital pathology, and I have been exploring this field for 2 years now; looking for how computers can empower pathology practices, and this is where our project "GlomoFinder" belongs.

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