Föreläsningar och seminarier StratRegen Seminarieserie med Jian Shu

Decoding the “languages” underlying genetic and cellular states remains a major challenge. Single-cell omics measurements are transforming our understanding of biology; however, they are expensive and destructive, posing challenges in monitoring live cells in tissues and humans over time. Although imaging is non-destructive, low-cost, and scalable, it can be difficult to interpret. We aim to develop generalizable and scalable experimental and computational frameworks that utilize generative AI to bridge the gap between different data modalities. For example, we have developed a series of technologies that enable the prediction of single-cell omics data from non-destructive imaging modalities and the reconstruction of molecular dynamics over time and in live cells through imaging. This facilitates fast and scalable querying and prediction of genomics information underlying multicellular systems from imaging, ideally in real-time, in live cells. Translating different “languages” (data modalities) of biology will serve as a foundation to understand and manipulate human physiology for improved health outcomes, ranging from women’s health to aging and infectious diseases.