Abstract
In the development of highly effective drug delivery systems (DDS), autonomous multi-step manufacturing of tailored nanoparticles in size and drug loading was achieved by seamlessly integrating combinatorial synthesis of drug-loaded nanoparticles, rapid flow-dialysis to purify them, followed by real-time characterization of size and encapsulation efficiency (EE) in a continuous-flow manner. To accomplish this, a newly developed ultrafast flow-dialysis module with multiple buffer injectors for efficient removal of impurities within 10 min was utilized. These integrated multi-step flow processes were autonomously controlled by leveraging a multi-objective Bayesian optimization (MOBO) algorithm. Consequently, this artificial intelligence (AI)-assisted rapid screening of multi-step parameters accomplished the swift manufacturing of both Doxorubicin (DOX)-loaded liposomes and polymeric nanoparticles, customized in terms of size and drug loading within 6 h for each. This AI-based autonomous platform envisions accelerating the development timeline for bespoke DDS applications, addressing diverse therapeutic needs in the field of nanomedicine.
Published Version
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