Researchers are exploring the combination of spatial transcriptomics with tissue morphology to better understand various biological processes. Studies are utilizing techniques such as imaging-based and sequencing-based spatial omics mapping to analyze tissue sections and predict outcomes like cancer survival and therapy response. The integration of spatial transcriptomics with other fields, including metabolomics and artificial intelligence, is also being investigated for its potential to provide new insights into diseases like cancer.