Martijn Zoodsma

The paper uses genome-wide association testing on embeddings from a medical-history foundation model to identify genetic signals linked to biological pathways and drug targets.

This study integrates genetic variation with plasma protein measurements in South Asians to identify pQTLs and build a proteogenomic disease network for understudied populations.

This study examines the proteomic and clinical impact of human knockouts in British South Asians, identifying significant protein under- and over-expression and developing a machine learning model to predict variant benignity.

CellDemux demultiplexes genetically labeled single-cell and single-nuclei libraries across modalities, achieving 88% donor assignment accuracy in benchmarking.