no code implementations • 10 Dec 2023 • Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
Generative models can produce synthetic patient records for analytical tasks when real data is unavailable or limited.
no code implementations • 19 Jul 2023 • Brandon Theodorou, Cao Xiao, Jimeng Sun
In recent years, machine learning models have been proposed for speeding up patient recruitment via automatically matching patients with clinical trials based on longitudinal patient electronic health records (EHR) data and eligibility criteria of clinical trials.
1 code implementation • 6 Jun 2023 • Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun
The code is available at https://github. com/RyanWangZf/PyTrial.
no code implementations • 30 May 2023 • Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
This paper focuses on the trial site selection task and proposes FRAMM, a deep reinforcement learning framework for fair trial site selection.
1 code implementation • 4 Apr 2023 • Brandon Theodorou, Cao Xiao, Jimeng Sun
In this paper, we propose Hierarchical Autoregressive Language mOdel (HALO) for generating longitudinal high-dimensional EHR, which preserve the statistical properties of real EHR and can be used to train accurate ML models without privacy concerns.
no code implementations • 13 Apr 2022 • Rakshith S Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun
More recently, the issue of diversity and inclusion in clinical trials is gaining importance.