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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

Fluctuations in intraocular pressure before and after femtosecond laser pretreatment for cataract surgery. [PDF]

open access: yesIndian J Ophthalmol
Singh S   +6 more
europepmc   +1 more source

Photoreceptor cone loss is associated with decreased deep retinal vessel density and impaired retinal sensitivity in high myopia. [PDF]

open access: yesBr J Ophthalmol
Liang J   +16 more
europepmc   +1 more source

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