all AI news
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction
April 23, 2024, 4:41 a.m. | Ling Yue, Jonathan Li, Md Zabirul Islam, Bolun Xia, Tianfan Fu, Jintai Chen
cs.LG updates on arXiv.org arxiv.org
Abstract: The clinical trial process, also known as drug development, is an indispensable step toward the development of new treatments. The major objective of interventional clinical trials is to assess the safety and effectiveness of drug-based treatment in treating certain diseases in the human body. However, clinical trials are lengthy, labor-intensive, and costly. The duration of a clinical trial is a crucial factor that influences overall expenses. Therefore, effective management of the timeline of a clinical …
arxiv attention clinical clinical trial cs.lg hierarchical prediction transformer type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US