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Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches.

Zhoumeng LinWei-Chun ChouYi-Hsien ChengChunla HeNancy A Monteiro-RiviereJim E Riviere
Published in: International journal of nanomedicine (2022)
This study provides a quantitative model to improve the design of cancer nanomedicine with greater tumor delivery efficiency. These results help to improve our understanding of the causes of low NP tumor delivery efficiency. This study demonstrates the feasibility of integrating artificial intelligence with PBPK modeling approaches to study cancer nanomedicine.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • mass spectrometry
  • drug delivery
  • squamous cell
  • childhood cancer