Anke Katharina Bergmann

clinTALL is a deep learning framework that classifies pediatric T-ALL subtypes and predicts treatment outcomes using multimodal data, achieving high accuracy and concordance indices.

FA-NIVA provides an automated analysis framework for Nanopore long-read sequencing data to detect SNVs and SVs in Fanconi anemia genes with improved genotyping accuracy.

This study identifies how developmental maturity and fusion partner influence treatment response in KMT2A-rearranged B-ALL across all ages.

The paper identifies differences in G protein expression levels between PVM strains, linking these differences to virulence through genetic variations in the G gene.

This study identifies germline genetic variants influencing somatic mutation patterns in 2,642 cancer genomes across 39 cancer types.