Risa Suzuki

This paper uses deep learning to predict tissue outcomes in retinal organoids before they are visually discernible, improving understanding of developmental trajectories.

This paper introduces a high-throughput optomotor response platform for analyzing vision in medaka and zebrafish, finding that albino medaka show heightened sensitivity to visual stimuli.

The paper uses medaka fish to study genetic and environmental interactions in heart rate, identifying QTLs and validating genes, while showing limitations of GWAS in capturing complex genetic effects.

This study develops a high-throughput optomotor response assay in medaka larvae to quantify visual traits and detect strain-specific differences.

The paper introduces the Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel, a vertebrate genetic resource for genotype-to-phenotype studies, enabling controlled experiments on complex traits.

The paper analyzes genomic and epigenomic variation in the MIKK panel using long-read sequencing and pan-genome graphs, revealing novel structural variants and methylation patterns.