5 papers
A novel hybrid approach for positive-valued DAG learning
Yao Zhao
Causal discovery from observational data remains a fundamental challenge in machine learning and statistics, particularly when variables represent inherently positive quantities su…
Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis
Yao Zhao, Zhiyue Zhang, Yanxun Xu
Clinical evidence synthesis requires identifying relevant trials from large registries and aggregating results that account for population differences. While recent LLM-based appro…
RESOLVE-IPD: High-Fidelity Individual Patient Data Reconstruction and Uncertainty-Aware Subgroup Meta-Analysis
Lang Lang, Yao Zhao, Qiuxin Gao +1
Individual patient data (IPD) from oncology trials are essential for reliable evidence synthesis but are rarely publicly available, necessitating reconstruction from published Kapl…
KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan-Meier Plots
Yao Zhao, Haoyue Sun, Yantian Ding +1
Reconstructing individual patient data (IPD) from Kaplan-Meier (KM) plots provides valuable insights for evidence synthesis in clinical research. However, existing approaches often…
LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
Yao Zhao, Yantian Ding, Zhiyue Zhang +2
Retrieval Augmented Generation (RAG) systems often struggle with domain-specific knowledge due to performance deterioration of pre-trained embeddings and prohibitive computational…