Toshinaru Kawakami

REN-former identifies gene regulators of kidney disease transitions by combining single-cell modeling and human genetics.

This paper evaluates Evo 2's ability to predict pathogenicity and mechanisms of cardiomyopathy variants, showing high accuracy and structural feature identification.

PAH-former uses transfer learning with Geneformer to identify PAH-associated genes by fine-tuning on public PAH lung tissue data and performing in silico perturbation analysis.

The paper develops REFLEX and HUNTERuni-seq to identify perivascular angiogenic macrophages (PVAMs) that deliver VEGF-A to endothelial cells, showing physical contact is critical for effective signaling.