Introduction Polymeric long-acting injectables (LAIs) enhance chronic disease treatment by prolonging therapeutic duration, reducing dosing frequency, and improving patient compliance [1, 2]. Evaluating drug release kinetics—particularly burst release and sustained release—is critical for LAI quality assessment, yet traditional methods face limitations, necessitating predictive modeling [2]. Key challenges include functional data prediction and datasets constraints, which […]
