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Figure 3. AI-guided coordinated engineering of EV cargo composition and surface targeting. The schematic summarizes a prospective AI design framework for coordinated EV engineering. Candidate cargo types, including RNA, proteins, and small molecules, could be evaluated in combination with candidate surface ligands to define an EV design space and generate predicted design scores. AI-based ranking and optimization may then help prioritize cargo-ligand combinations with potentially favorable design characteristics. These computationally prioritized EV designs could serve as candidates for subsequent experimental validation and further refinement of cargo loading and targeting performance. Created in BioRender. AI: Artificial intelligence; EV: extracellular vesicle.





