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10.1177/039463201202500123 Therapy 27 MahzouniehM.KhoshnoodS.EbrahimiA.HabibianS.YaghoubianM

By combining machine learning (such as Bayesian inference modeling) and computational tools (such as PharmMapper and DRAR-CPI), we can efficiently process large-scale compound-target data, predict potential targets, and screen key proteins (such as mitogen-activated protein kinase 14 (MAPK14)), and identify candidate molecules with therapeutic potential

Additionally, unmodified PLGA nanoparticles are cleared rapidly by the spleen and liver through the reticuloendothelial system (RES), shortening their circulation time and therapeutic window 99

This process protects liver cells while ensuring detox pathways run efficiently, not aggressively

Association between occupational exposure to mineral oil and rheumatoid arthritis: results from the Swedish EIRA case-control study