LNPs are often typecast as having one job — packing therapeutic nucleic acids for delivery. But that’s a vast oversimplification. LNPs have multiple components (including lipids, polymers, and chemical or protein ligands) and functions, including cargo protection, tissue/cell selectivity, liver detargeting, intracellular delivery, and tolerability enhancement. Co-optimizing all of these components while checking all these functional boxes requires intensive bioengineering. @mirai_bio is leveraging machine learning expertise — informed by enormous, proprietary in vivo datasets — to iteratively develop precise LNPs. This robust design and optimization process creates LNPs that home in on targeted tissues while avoiding hepatic capture. Read more: