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Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial and patent related features.

Fulya CirayTunca Doğan
Published in: Expert opinion on drug discovery (2022)
We hope that the results of our study, together with the programmatic implementation and datasets we provided, will aid the research community in terms of evaluating and improving the process of drug development. All of the datasets, source code, results and pre-trained models of DrugApp are freely available at https://github.com/HUBioDataLab/DrugApp.
Keyphrases
  • clinical trial
  • machine learning
  • healthcare
  • primary care
  • rna seq
  • mental health
  • emergency department
  • resistance training
  • phase ii
  • single cell
  • high intensity
  • adverse drug
  • phase iii