Understanding tumor biology requires approaches capable of capturing molecular states, spatial organization, and dynamic behavior at single-cell resolution. This one-day symposium brings together researchers working in omics, advanced imaging, and artificial intelligence to explore how the integration of these complementary technologies can transform single-cell biology and cancer research.

 The program will highlight emerging and state-of-the-art technologies in genomics, transcriptomics, proteomics, live-cell and spatial imaging, as well as machine-learning approaches. There will be ample opportunities for PhD students and postdoctoral researchers to present their latest work, with preference given to studies that integrate these technologies to move beyond descriptive atlases toward a predictive, mechanistic understanding of fundamental tumor biology, including tumor development, tumor microenvironment, tumor heterogeneity and plasticity, and therapy response.

 The symposium is organized by Oncode Institute and is open to both Oncode and non-Oncode researchers, with the aim of fostering cross-disciplinary exchange and catalyzing new collaborations across the single-cell and cancer research communities.