
Modeling, design, and machine learning-based framework for optimal injectability of microparticle-based drug formulations
Author(s) -
Morteza Sarmadi,
Adam M. Behrens,
Kevin J. McHugh,
Hannah T. M. Contreras,
Zachary L. Tochka,
Xueguang Lu,
Robert Langer,
Ana Jaklenec
Publication year - 2020
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.abb6594
Subject(s) - microparticle , multiphysics , biopharmaceutical , drug delivery , syringe , computer science , biomedical engineering , artificial intelligence , nanotechnology , materials science , engineering , mechanical engineering , finite element method , chemical engineering , structural engineering , biology , genetics
We investigate particle injectability as an essential parameter for design of microparticle-based drug delivery systems.