AI-Powered PRO-CTCAE Symptom Selection for Adverse Event Prediction
Published:Dec 7, 2025 16:56
•1 min read
•ArXiv
Analysis
This research explores using AI to improve the selection of PRO-CTCAE symptoms, potentially enhancing adverse event prediction in clinical trials. The focus on adverse event profiles suggests a practical application with implications for patient safety and trial efficiency.
Key Takeaways
- •The paper explores the use of AI to automate the selection of symptoms for the PRO-CTCAE.
- •This automation could improve the identification and prediction of adverse events.
- •The focus on prior adverse event profiles suggests a data-driven approach.
Reference
“The research focuses on automated PRO-CTCAE symptom selection.”