(111) Machine Learning-Driven Insights into Nanoparticle Delivery Efficiency for Cancer Therapy

: Cancer nanomedicine offers a promising approach to enhancing drug delivery efficiency, yet the unpredictable in vivo behavior remains a challenge. Factors such as nanoparticle type, material, size, shape, surface modifications, zeta potential, targeting strategies, and tumor microenvironment dynamics significantly impact delivery efficiency. A systematic analysis of these factors is crucial for optimizing nanocarrier design and improving therapeutic outcomes. This study employs machine learning to identify key determinants influencing nanoparticle performance in preclinical cancer models.