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.mamapaisa.com/product-category/8nn-creme-brulee/
Machine Learning Establishes Single-Cell Calcium Dynamics as an Early Indicator of Antibiotic Response
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