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Accelerating drug development for amyotrophic lateral sclerosis: construction and application of a disease course model using historical placebo group data.

Ruifen CaiJuan YangLijuan WuYixiao LiuXinrui WangQingshan ZhengZewei Li
Published in: Orphanet journal of rare diseases (2024)
The established disease course model of the historical placebo group is valuable in the decision-making process for the clinical development of ALS drugs. It serves not only as an external control to evaluate the efficacy of the tested drug in single-arm trials but also as prior information that aids in accurately estimating the posterior distribution of the disease course in the placebo group during small-sample clinical trials.
Keyphrases
  • amyotrophic lateral sclerosis
  • clinical trial
  • decision making
  • double blind
  • phase iii
  • healthcare
  • randomized controlled trial
  • machine learning
  • big data
  • drug induced
  • placebo controlled
  • deep learning