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cs.LG2026
Accelerating Reproducible Research in Synthetic EHR Generation
Jalen Jiang, Chufan Gao, Ethan Rasmussen +2
The generation of high-fidelity synthetic Electronic Health Records (EHR) is crucial for advancing medical research while preserving patient privacy. However, head-to-head comparis…
cs.LG2025
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning
Trisha Das, Zifeng Wang, Afrah Shafquat +4
Each year, hundreds of clinical trials are conducted to evaluate new medical interventions, but sharing patient records from these trials with other institutions can be challenging…
cs.LG2024
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data
Chufan Gao, Mandis Beigi, Afrah Shafquat +2
Analyzing data from past clinical trials is part of the ongoing effort to optimize the design, implementation, and execution of new clinical trials and more efficiently bring life-…