M. Hayakawa

Cure of congenital purpura fulminans via expression of engineered protein C through neonatal genome editing in mice

The paper demonstrates that ectopic expression of an engineered protein C via neonatal genome editing cures congenital protein C deficiency in mice.

Beyond pathologist-level annotation of large-scale cancer histology for semantic segmentation using immunofluorescence restaining

The paper develops SegPath, a large annotation dataset for histopathology segmentation, showing it outperforms pathologist annotations and reduces bias.

Uncertainty quantification in cerebral circulation simulations focusing on the collateral flow: Surrogate model approach with machine learning

This paper develops a machine learning surrogate model to rapidly quantify uncertainty in cerebral circulation simulations, enabling real-time risk assessment of cerebral hyperperfusion after carotid artery stenosis surgery.

Polar pattern formation induced by contact following locomotion in a multicellular system

This study identifies contact following locomotion as a mechanism driving polar order in collective cell migration through experiments and simulations in Dictyostelium cells.