SOURCE-LINKED INTELLIGENCE
Decoding Extrahepatic Targeting of Lipid Nanoparticles with Interpretable Machine Learning
Lipid nanoparticles (LNPs) have transformed RNA medicine, yet their clinical utility remains constrained by predominant hepatic accumulation after systemic administration. Redirecting LNPs to extrahepatic tissues requires understanding of how lipid chemistry and formulation composition jointly govern in vivo biodistribution. Here, we develop an interpretable machine learning framework to predict hepatic versus extrahepatic LNP accumulation and identify molecular design rules for extrahepatic RNA delivery. A literature-derived dataset of 476 intravenous LNP formulations was curated from 81 stud
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T18:31:57.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.