4 citations · 5 across the 5 of their papers we have counts for
6 papers
The Last Mile of Coding Agents for Long-Document Tasks: An Empirical Study on Clinical Trial Protocol Digitization
Jiacheng Lin, Geoffrey Low, Nishit Agarwal +4
Clinical trial protocols serve as the source of truth for study design, but are mostly written and used as unstructured PDF documents. Digitizing protocols turns static content int…
: Benchmarking Eligibility Criteria Amendments in Clinical Trials
Trisha Das, Mandis Beigi, Jacob Aptekar +1
Clinical trial amendments frequently introduce delays, increased costs, and administrative burden, with eligibility criteria being the most commonly amended component. We introduce…
SECRET: Semi-supervised Clinical Trial Document Similarity Search
Trisha Das, Afrah Shafquat, Beigi Mandis +2
Clinical trials are vital for evaluation of safety and efficacy of new treatments. However, clinical trials are resource-intensive, time-consuming and expensive to conduct, where e…
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…
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-…
Scale-Invariant Local Descriptor for Event Recognition in 1D Sensor Signals
Jierui Xie, Mandis S. Beigi
In this paper, we introduce a shape-based, time-scale invariant feature descriptor for 1-D sensor signals. The time-scale invariance of the feature allows us to use feature from on…