Astraea uses an fully automated clinical biostatistics process to shorten the new drug approval cycle to a few days

robot
Abstract generation in progress
AIMPACT News, May 15 (UTC+8), Astraea is an AI-native platform focused on automating the biostatistics processes in clinical trials. The platform automatically generates CDISC-compliant SDTM and ADaM datasets, TFLs (tables, figures, and listings), and FDA-ready outputs by inputting raw clinical data, trial protocols, and research metadata. According to customer feedback, traditional processes typically take 9 months and involve a team of 5-10 people, while Astraea can shorten this process to just a few days. Currently, the platform focuses on oncology and rare disease research. Co-founders Joshua Wang (CEO) and Sanmay Sarada (CTO) are both from Stanford, with experience in AI systems and clinical data infrastructure. The platform has received support from Y Combinator. (Source: InFoQ)
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • Comment
  • Repost
  • Share
Comment
Add a comment
Add a comment
No comments
  • Pinned