PQG Seminar

In the burgeoning field of spatial biology, the integration of multi-modal spatial omics technologies presents both a formidable challenge and a tremendous opportunity for advancing clinical research and diagnostics. I will discuss the concerted efforts of our laboratory to address the complexities inherent in large-scale multi-modal spatial data analysis, with a specific focus on making spatial biology more accessible for clinical projects. Our approach is threefold: firstly, we focus on implementing the latest spatial omics technologies with the goal to integrate their functional outputs and as such harness the full potential of spatially resolved molecular data.  Secondly, we develop robust data structures tailored for the efficient storage, retrieval, and manipulation of large volumes of multi-modal spatial data, ensuring that our solutions are scalable and adaptable to the ever-evolving landscape of spatial biology. Finally, we prioritize the usability of our analytical tools and strategies, offering a user-friendly interface that empowers clinicians and researchers with minimal computational background to engage in sophisticated spatial data analysis. By addressing these key areas, our laboratory not only aims to advance the methodological framework for spatial data analysis but also to foster the integration of spatial omics data into routine clinical practice, thereby opening new avenues for personalized medicine and biomarker discovery. Through this integrated approach, we contribute to the establishment of a more accessible, efficient, and comprehensive ecosystem for the analysis of spatial biology data, ultimately facilitating the translation of complex spatial omics data into actionable clinical insights.