This research investigates therapy-resistant persister cells in lung cancer using single-cell analysis of patient tumors before, during, and after treatment. Findings show persister cells survive by entering a dormant state and activating the cilia–FGFR4 survival pathway. Targeting this pathway could eliminate persister cells and prevent relapse in patients.

My research uses artificial intelligence to detect water pollution by analysing DNA traces left by aquatic species. Instead of relying on visual signs or costly expert identification, supervised machine learning reads species patterns to determine water quality. The method is faster, cheaper, and more accurate than traditional analysis.