Linda Banovic Baughn

This study analyzes whole-genome sequencing data from multiple myeloma patients to show that the timing of genetic events, not just their presence, affects clinical outcomes.

This study identifies biallelic CD38 loss as a mechanism of resistance to anti-CD38 antibodies in multiple myeloma, with specific mutations affecting antibody efficacy.

This study uses longitudinal multi-omic profiling to identify immune escape mechanisms and predictors of response in multiple myeloma.

UNISOM improves CHIP detection from low-coverage sequencing data by combining variant calling with machine learning classification, identifying low-VAF mutations with high sensitivity.

This study evaluates optical genome mapping (OGM) for detecting genomic aberrations in AML, finding it identifies all clinically relevant SVs and CNVs and detects additional variants missed by standard methods.