Interpretable Radiomics Model Predicts Nanomedicine Tumor Accumulation Using Routine Medical Imaging (Adv. Mater. 12/2025)

Abstract

Nanomedicine Accumulation

Accurate prediction of nanomedicine accumulation is crucial for guiding patient stratification and optimizing treatment strategies in precision medicine. In article number 2416696, Shouju Wang and colleagues present an interpretable radiomics model capable of predicting nanomedicine tumor accumulation using routine medical imaging, achieving an impressive accuracy of 0.851. This study demonstrates the potential of noninvasive imaging for patient stratification and the precise tailoring of nanomedicine therapies, paving the way for more personalized and effective cancer treatment.