Overview

• Developed by VCU Massey researchers Jinze Liu and Kevin Byrd, TACIT uses marker‐expression thresholds to classify millions of cells from multiplexed imaging within minutes.
• The algorithm harmonizes in situ transcriptomic and proteomic data, outperforming existing unsupervised methods in accuracy and scalability.
• Published in Nature Communications on April 21, it streamlines diagnostic workflows by rapidly distinguishing tumor cells from healthy tissue to inform treatment plans.
• TACIT can identify spatial biomarkers to match patients with clinical trials and predict drug responses by mapping RNA markers to approved therapies.
• Researchers are expanding TACIT’s capabilities to incorporate additional spatial omics technologies and drug‐repurposing frameworks to further improve patient outcomes.