Generative cerebral vasculature visualization using spatialtranscriptomic data
The brain is sustained by an intricate vascular network that provides a continuous supply of nutrients and oxygen essential for its function. Understanding the structural variability and region-specific function of this neurovascular system is essential for interpreting neurological alterations in disease models. Leveraging the spatial mRNA-guided generative model Tera-MIND, we propose to predict the spatial organization of brain vasculature by the co-expression patterns of Cldn5 and Acta2 genes and their learned attention map at cell-level resolution. These findings showcase the modeling capability of generative AI trained on single cell spatial mRNA data for higher order structures and underscores its potential for high-throughput investigation of critical vascular functions and their dysregulation in neurological disorders.