Making in vitro release and formulation data AI-ready: A foundation for streamlined nanomedicine development

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Publication date
2025-04-29
Creators
Zelzer, Mischa
Twycross, Jamie
Yanes, Daniel
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Description
Open-access liposome database, code, and datasets associated with manuscript submission titled "Making in vitro release and formulation data AI-ready: A foundation for streamlined nanomedicine development".
External URI
DOI
Subjects
  • Nanomedicine
  • Machine learning
  • Pharmaceutical technology
  • Drug delivery systems
  • Drugs -- Controlled release
  • Artificial intelligence -- Biological applications
  • Nanomedicine, Machine Learning, Artificial Intelligence, Drug release, Liposomes, IVR testing, In vitro release, Formulation, Pharmaceutics, Data Science
  • Subjects Allied to Medicine::Pharmacology, toxicology & pharmacy::Pharmacology
  • R Medicine::R Medicine (General)::R855 Medical technology. Biomedical engineering. Electronics
  • R Medicine::RM Therapeutics. Pharmacology
Divisions
  • University of Nottingham, UK Campus::Faculty of Science::School of Computer Science
  • University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy
Deposit date
2025-04-29
Data type
Database, code repository and (un)processed datasets
Contributors
  • Mead, Heather
  • Mann, James
  • Röding, Magnus
  • Paraskevopoulou, Vasiliki
  • Alexander, Cameron
  • Parkhizkar, Maryam
Funders
  • Engineering & Physical Sciences Research Council
Grant number
  • EP/S023054/1
Collection dates
  • 2023 - 2024
Data collection method
Data scraping from academic publications.
Provenance / lineage
http://doi.org/10.17639/nott.7522
Resource languages
  • en
Publisher
University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution