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.herbsdailyes.shop/product-category/amla/