Publications by authors named "Satvik Dasariraju"
Article Synopsis
- This study investigates the impact of HLA amino acid-level mismatches (AA-MM) on kidney transplant success, focusing on how they differ from traditional HLA antigen-level mismatches (Ag-MM).
- Researchers developed a tool called Feature Inclusion Bin Evolver for Risk Stratification (FIBERS) to evaluate and classify donor-recipient pairs into risk categories based on AA-MMs.
- Results showed that using FIBERS provided better predictive power for graft failure risk, identifying more patients as low-risk compared to traditional methods, particularly highlighting the importance of mismatches in the DRB1 locus.
Acute myeloid leukemia (AML) is a fatal blood cancer that progresses rapidly and hinders the function of blood cells and the immune system. The current AML diagnostic method, a manual examination of the peripheral blood smear, is time consuming, labor intensive, and suffers from considerable inter-observer variation. Herein, a machine learning model to detect and classify immature leukocytes for efficient diagnosis of AML is presented.
View Article and Find Full Text PDF