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Heart organoid
Our long-term goal is to develop in vivo-like, four-chambered heart organoids that incorporate every component of the heart. By utilizing hiPSCs derived from patients with heart diseases, we also investigate the underlying causes of these abnormalities through their heart organoids.
Machine learning
To gain a systematic understanding of heart development and disease, we employ various approaches, including high-throughput immunofluorescence imaging, single-cell mRNA sequencing, and spatial transcriptomics. We then use this information to train machine learning models that predict cell states and molecular identities under both normal and diseased conditions.
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