Coleman Kyle, Schroeder Amelia, Li Mingyao
Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Nat Methods. 2024 Aug;21(8):1378-1381. doi: 10.1038/s41592-024-02363-x.
Spatial omics technologies have transformed biomedical research by providing detailed, spatially resolved molecular profiles that enhance our understanding of tissue structure and function at unprecedented levels. Artificial intelligence (AI) holds great potential to unlock the full power of spatial omics, facilitating the integration of complex datasets and accelerating the discovery of novel biomedical insights.
空间组学技术通过提供详细的、具有空间分辨率的分子图谱,以前所未有的水平增强了我们对组织结构和功能的理解,从而改变了生物医学研究。人工智能(AI)在释放空间组学的全部潜力方面具有巨大潜力,有助于整合复杂的数据集并加速发现新的生物医学见解。