Machine learning in drug delivery

For decades, drug delivery scientists have been performing trial-and-error experimentation to manually sample parameter spaces and optimize release profiles through rational design. To enable this approach, scientists spend much of their career learning nuanced drug-material interactions that drive...

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Veröffentlicht in:Journal of controlled release 2024-09, Vol.373, p.23-30
1. Verfasser: Gormley, Adam J.
Format: Artikel
Sprache:eng
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