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Image-based models of T-cell distribution identify a clinically meaningful response to a dendritic cell vaccine in patients with glioblastoma.

Kamila M BondLee CurtinAndrea Hawkins-DaarudJavier C UrcuyoGustavo De LeonKyle W SingletonAriana E AfshariLisa E PaulsonChristopher P SeredukKris A SmithPeter NakajiLeslie C BaxterDevi Prasad PatraMichael P GustafsonAllan B DietzRichard S ZimmermanBernard R BendokNhan L TranLeland S HuIan F ParneyJoshua B RubinKristin R Swanson
Published in: medRxiv : the preprint server for health sciences (2023)
In a field that has yet to see breakthrough therapies, these results highlight the value of machine learning in enhancing clinical trial assessment, improving our ability to prospectively prognosticate patient outcomes, and advancing the pursuit towards individualized medicine.
Keyphrases
  • dendritic cells
  • machine learning
  • clinical trial
  • deep learning
  • regulatory t cells
  • artificial intelligence
  • phase ii
  • immune response
  • study protocol
  • open label
  • double blind
  • randomized controlled trial
  • phase iii