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
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Data Engineer - Takealot Group (Takealot.com | Superbalist.com | Mr D Food)
@ takealot.com | Cape Town