M.-H. Stern

This study uses Optical Genome Mapping to detect HRD in breast and ovarian cancers by analyzing structural variants, finding isolated translocations as a reliable biomarker.

The paper analyzes centrosome numbers in ovarian cancers and finds that low centrosome numbers correlate with poor patient survival and mesenchymal subgroup enrichment.

This study uses deep learning to identify new morphological patterns of HRD in luminal breast cancers from whole slide images, achieving high accuracy and enabling new hypotheses on phenotypic impacts.

This paper develops a multiplex droplet digital PCR assay for detecting ESR1 activating mutations in plasma, showing high sensitivity and concordance with NGS data.