Faster, better, cheaper: machine learning for blood disease diagnosis
The diagnosis of myelodysplastic syndromes (MDS) is challenging and mainly relies on bone marrow morphology and genetic tests. In collaboration with clinicians from VUMC Amsterdam, scientists from the Yvan Saeys lab (VIB-UGent Center for Inflammation Research) have developed a machine learning model to help in the automated diagnosis of MDS. This model resulted in a significantly better diagnostic power, while drastically reducing the time and resources needed for analysis.
Read the full article on the VIB website.
Photo by National Cancer Institute on Unsplash