In the past, the field of medicine lacked a profound understanding of the reasons for variations in treatment outcomes among patients with the same cancer, with tumor heterogeneity proving to be a key factor. Heterogeneity within tumors, encompassing genomic variations, structural changes, and chromatin modifications, complicates cancer therapy. Changes in treatment targets are closely associated with increased heterogeneity and alterations in gene expression, directly impacting cancer treatment.
To overcome the challenges in treatment, we advocate for an analysis from a spatial omics perspective to explore new possibilities in cancer therapy. Spatial omics is currently a prominent field addressing past difficulties such as the inability to detect old samples, as well as insufficient resolution, by developing revolutionary spatial omics technology platforms. These platforms integrate techniques such as single-cell imaging, fluid dynamics, chemistry, and bioinformatics, breaking the limitations of only being able to ascertain limited protein expression through staining. The interactions between cells within tissues can now be directly understood. Targeting various diseases is no longer vague or reliant solely on limited information to infer possible treatment strategies. Spatial omics aids in understanding the precise location of cells and their interactions in disease progression and drug response, driving insight-driven innovative research in translational medicine!
At the Center of Advanced Computing and Imaging in Biomedicine (CACIB), computation, imaging, and multi-omics are the three main themes. The development in these areas contributes to achieving precision health and medicine. By combining multi-omics, computational science, and multimodal imaging techniques, we hope to gain a deeper understanding of pathogenesis, address challenging diseases, promote advancements in drug development, and shed light on personalized medicine.