This study introduces a novel computational framework that integrates circadian hormonal fluctuations into virtual placebo groups, enhancing the physiological realism of cardiac safety simulations. By capturing sex-specific, diurnal hormonal cycles, the model accounts for a significant yet often overlooked source of variability in QTc interval measurements – hormonal dynamics – thereby increasing the representability of uncertainty in drug-induced QTc prolongation.
