Results 231 to 240 of about 320,000 (291)

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

Brain MRI Radiomic First-Order Features for Presurgical Prediction of Meningioma Grading. [PDF]

open access: yesJ Neuroimaging
Pineda-Ibarra C   +13 more
europepmc   +1 more source

Bipolar ordered weighted averages: BIOWA operators

Fuzzy Sets and Systems, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mesiar, Radko   +2 more
openaire   +2 more sources

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