Prediction of myeloid malignant cells in Fanconi anemia using machine learning
Luis A. Flores-Mejía,
Pablo Siliceo-Portugal,
Ulises Juárez Figueroa
et al.
Abstract:Fanconi anemia (FA) is an inherited bone marrow failure syndrome with cancer predisposition. Most FA patients develop aplastic anemia during childhood and have an extremely high cumulative risk to develop cancer during their lifespan. Myeloid malignancy is one of the main tumor risks for patients with FA, including high-risk myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Although bone marrow transplantation is the treatment of choice for FA patients that develop aplastic anemia, patients with… Show more
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