Quantifies NK cell killing dynamics using machine learning in various NK cell types, suggesting enhanced analytical capacity.
A droplet microfluidic workflow combines ML-based K562 death analysis with manual NK annotation to quantify attachment, killing, serial killing, and killing-time differences across primary, expanded, and tumor-conditioned NK cells.
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Ozcan et al. (2026) studied this question.
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