Results 191 to 200 of about 29,569 (257)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Spleen‐Targeting Biomimetic Hybrid Nanocarriers for Systemic Immune Reprogramming in Colitis: RBC Membrane Vesicle‐Fused Lipid Nanoparticles

open access: yesAdvanced Functional Materials, EarlyView.
A spleen‐targeting hybrid nanoplatform (RBCMV‐LNP‐RP) harnessing erythrophagocytosis mimics senescent red blood cell clearance to achieve spleen‐specific delivery of rapamycin. This biomimetic system enables selective accumulation in splenic macrophages, orchestrating systemic immune reprogramming and promoting mucosal healing in an inflammatory bowel ...
Jun Kwon   +10 more
wiley   +1 more source

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