Publications by authors named "S Federico Pedicona"
EBioMedicine
October 2024
Article Synopsis
- Acute myeloid leukaemia (AML) is a serious bone marrow cancer that can be difficult to treat, especially in patients with FLT3 mutations who often don't respond well to current therapies like midostaurin combined with intensive chemotherapy (MIC).
- Researchers analyzed samples from 47 patients with FLT3-MP AML using advanced mass spectrometry and machine learning to find better predictive biomarkers for treatment response, leading to the development of a new model called MPhos.
- The MPhos model showed an impressive predictive accuracy in separate validation cohorts, outperforming the existing FLT3-based method, which could significantly improve treatment decision-making in AML patients.
