Changes in bacterial physiology necessarily precede cell death in response to antibiotics. Herein we investigate the early disruption of Ca2+ homeostasis as a marker for antibiotic response. Using a machine learning framework. we quantify the temporal information encoded in single-cell Ca2+ dynamics. https://www.roneverhart.com/Terry-s-Milk-Orange-Chocolate-with-Popping-Candy-12-Piece-Case/
Machine Learning Establishes Single-Cell Calcium Dynamics as an Early Indicator of Antibiotic Response
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