Statistical Center for Single-Cell and Spatial Genomics (SC2SG)

Congratulations to Dr. Mingyao Li on her recent publication in Nature, which maps early human brain development using spatial transcriptomics. The study reveals that cortical layers and areas are specified earlier than previously thought, offering new insight into how the brain takes shape.

Mingyao Li, PhD and her Penn Medicine colleagues developed an AI-powered tool called MISO (Multi-modal Spatial Omics) that can detect cell-level characteristics of cancer by looking at data from extremely small pieces of tissue—some as small as the width of five human hairs.

Dr. Mingyao Li’s article in Nature Methods discusses how artificial intelligence is revolutionizing spatial omics, enhancing integration of diverse data and accelerating biological discoveries for improved health outcomes in biomedical research.

Advanced spatial transcriptomics techniques are advancing our understanding of cancer and other diseases at the cellular level: “You can zoom in, you can look at the tissue-specific features, how many […]