ABSTRACT
Understanding the differences
between us, with big data.
By running parallel omics analyses on organoids grown from populations and combining them with AI, we read how susceptible each individual is to disease and how drugs will work for them.
From the data we gather, we build biological digital twins that read ahead how each person’s organs will behave.

RELATED PUBLICATIONS
2026.09.18Glutamine metabolism as a rheostat of CD4+ T cell pathogenic function in metabolic dysfunction-associated steatotic liver disease.Sawada K et al.01 CINCINNATI CHILDREN'S / 03 SCIENCE TOKYO / 04 PRIMeCell MetabPMID →
2026.07.10A third way to breathe.Takebe T01 CINCINNATI CHILDREN'S / 03 SCIENCE TOKYO / 04 PRIMe / 05 YCU-CDCMedPMID →
2026.06.29Mesoscale maladaptation in disease organoids.Okamoto M et al.01 CINCINNATI CHILDREN'S / 03 SCIENCE TOKYO / 04 PRIMe / 05 YCU-CDCDis Model MechPMID →
RELATED NEWS
OTHER THEMES
← All research themes
CONTACT
Come and solve this question with us.
We recruit postdocs, graduate students and technicians year-round across our sites in Japan and the US.
Applicants from data science and design are equally welcome.
