Researchers published SPLISOSM, a method to map isoform usage and regulatory mechanisms from spatial transcriptomics data. The tool increases statistical power to detect differential isoform expression across tissue architecture and links isoform distributions to local regulatory features. SPLISOSM offers a direct path for labs and companies to extract isoform‑level biology from emerging spatial platforms, enabling more granular biomarker discovery and target validation in situ.