A machine learning pipeline to accelerate the design of in vitro release tests from liposomes

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Publication date
2025-02-21
Creators
Yanes, Daniel
Zelzer, Mischa
Twycross, Jamie
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Description
Processed datasets and code associated with manuscript submission titled "A machine learning pipeline to accelerate the design of in vitro release tests from liposomes".
External URI
DOI
Links
Subjects
  • Nanomedicine
  • Drug delivery systems
  • Liposomes
  • Machine learning
  • Nanomedicine, Machine Learning, Artificial Intelligence, Drug release, Liposomes, IVR testing, In vitro release, Formulation
  • Subjects Allied to Medicine::Pharmacology, toxicology & pharmacy::Pharmacology
  • R Medicine::RS Pharmacy and materia medica
Divisions
  • University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy
  • University of Nottingham, UK Campus::Faculty of Science::School of Computer Science
Deposit date
2025-02-21
Data type
Code base and processed datasets
Contributors
  • Mead, Heather
  • Mann, James
  • Röding, Magnus
  • Parhizkar, Maryam
  • Alexander, Cameron
Funders
  • Engineering & Physical Sciences Research Council
Grant number
  • EP/S023054/1
Data collection method
Data scraping from academic publications.
Resource languages
  • en
Copyright
  • Daniel Yanes
  • Mischa Zelzer
  • Jamie Twycross
Publisher
University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution