P. A. C. 't Hoen

This paper uses deep learning trained on synthetic data to quantify deformability differences in malaria-infected red blood cells, revealing strain-specific virulence variations.

This study uses ribosome profiling to show that eIF2 phosphorylation in erythroblasts selectively enhances translation of certain transcripts while reducing others, revealing a complex regulatory mechanism.