Optimizing particle size for targeting diseased microvasculature: from experiments to artificial neural networks
Daniela P Boso1, Sei-Young Lee2, Mauro Ferrari3, Bernhard A Schrefler1, Paolo Decuzzi31Department of Structural and Transportation Engineering, University of Padova, Padova, Italy; 2Global Production Technology Center, Samsung Electronics Co Ltd, Republic of Korea; 3The Methodist Hospital Research I...
Guardado en:
Autores principales: | Schrefler BA, Ferrari M, Lee S, Boso DP, Decuzzi P |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Dove Medical Press
2011
|
Materias: | |
Acceso en línea: | https://doaj.org/article/811560c5597b4e789d3254da72839350 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The duality between particle methods and artificial neural networks
por: A. Alexiadis, et al.
Publicado: (2020) -
Training Optimization for Artificial Neural Networks
por: Primitivo Toribio Luna, et al.
Publicado: (2010) -
Development of an Artificial Neural Network Utilizing Particle Swarm Optimization for Modeling the Spray Drying of Coconut Milk
por: Jesse Lee Kar Ming, et al.
Publicado: (2021) -
Determination of factors controlling the particle size and entrapment efficiency of noscapine in PEG/PLA nanoparticles using artificial neural networks
por: Shalaby KS, et al.
Publicado: (2014) -
Publisher Correction: The duality between particle methods and artificial neural networks
por: A. Alexiadis, et al.
Publicado: (2021)