Nature Communications (Jan 2023)

Machine learning models to accelerate the design of polymeric long-acting injectables

  • Pauric Bannigan,
  • Zeqing Bao,
  • Riley J. Hickman,
  • Matteo Aldeghi,
  • Florian Häse,
  • Alán Aspuru-Guzik,
  • Christine Allen

DOI
https://doi.org/10.1038/s41467-022-35343-w
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 12

Abstract

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Polymer-based long-acting injectable drugs are a promising therapeutic strategy for chronic diseases. Here the authors use machine learning to inform the data-driven development of advanced drug formulations.