BLINK: Behavioral Latent Modeling of NK Cell Cytotoxicity
Machine learning models of cellular interaction dynamics hold promise for understanding cell behavior. Natural killer (NK) cell cytotoxicity is a prominent example of such interaction dynamics and is commonly studied using time-resolved multi-channel fluorescence microscopy. Although tumor cell death events can be annotated at single frames, NK cytotoxic outcome emerges over time from cellular interactions and cannot be reliably inferred from frame-wise classification alone. We introduce BLINK, a trajectory-based recurrent state-space model that serves as a cell world model for NK-tumor interactions. BLINK learns latent interaction dynamics from partially observed NK-tumor interaction seq...
| Authors | Iman Nematollahi, Jose Francisco Villena-Ossa, Alina Moter et al. |
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| Primary category | cs.CV |
| Published | 5 March 2026 |
| Last updated at source | 16 March 2026 |
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