MedulAI

  • An AI model designed to support cell counting and analysis in bone marrow samples. It can classify among 23 cellular subtypes based on a training dataset of +500.000 cells from +1000 patients.

Bone marrow aspirates are a routine diagnostic test for blood cancers, traditionally analyzed by haematologists using an optical microscope. AI automates cell counting and aids in classification, standardizing the process while reducing time and human variability. It also provides a more comprehensive view of a patient’s disease that can lead to predictive models and insights to potentially guide targeted therapy decisions

Bermejo-Peláez, D. et al. “Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases.” Microscopy and Microanalysis (2024): ozad143.

Bermejo-Peláez, D., et al. “The Augmented Hematologist: Human-AI Feedback Loops to Assist Differential Cell Count during the Analysis of Bone Marrow Aspirates.” Blood 140.Supplement 1 (2022): 10736-10737.