We are excited to share our latest research published in the International Journal of Molecular Sciences: “Comparison of the Capacity of Several Machine Learning Tools to Assist Immunofluorescence-Based Detection of Anti-Neutrophil Cytoplasmic Antibodies.”

This work was conducted in collaboration with Daniel Bertin and Nathalie Bardin, both members of the Immunology Laboratory of Marseille Hospitals, and Pierre Bongrand from LAI.

This study addresses a current challenge of using artificial intelligence to perform biomedical tasks without any human intervention, which might result in lower cost, increased availability and increased rapidity. Here, we compared the capacity of several widely available machine learning tools to analyze microscopic images in order to diagnose some autoimmunity diseases. The paper described preliminary results obtained with a dataset of 1,733 cell images.

For more information, visit the publication: https://doi.org/10.3390/ijms25063270.