Martin Akerman

This study evaluates MALAT1-targeting ASOs in breast cancer using patient-derived organoid models, showing MALAT1's role in alternative splicing, metastasis, and tumor-stroma interactions.

This study shows CDK11 is critical for cancer cell survival and identifies 1p36 deletions as a biomarker for CDK11 inhibitor sensitivity, but on-target toxicity limits therapeutic efficacy.

This paper develops SpliceLearn, an AI/ML tool for identifying splice-switching oligonucleotide targets, and validates its effectiveness in predicting therapeutic targets in triple negative breast cancer.