Lucie Abeler‐Dörner

This paper develops a multi-task learning model to predict HIV-1 resistance to multiple broadly neutralizing antibodies, showing it reduces subtype bias and identifies co-resistance patterns.

The paper evaluates two tools for HIV transmission direction prediction using short and long-read sequencing data from serodiscordant couples, showing long reads improve phylogenetic resolution and transmission prediction accuracy.

The paper analyzes resistance to dolutegravir in HIV patients in Nigeria, finding low-level resistance with one case of high-level resistance.

This study analyzes within-host SARS-CoV-2 diversity and transmission patterns using 1390 UK clinical samples, finding low within-host diversity and a narrow transmission bottleneck.

This paper introduces veSEQ-HIV, a cost-effective, high-throughput sequencing method for HIV that recovers complete genomes and quantifies viral load, enabling drug resistance monitoring and transmission analysis.