Trisha Das

11 papers A* 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AMEND++: Benchmarking Eligibility Criteria Amendments in Clinical Trials.
CoRR
Trisha Das, Mandis Beigi, Jacob Aptekar, Jimeng Sun
2026 J jnl
POET: Protocol Optimization via Eligibility Tuning.
CoRR
Trisha Das, Katherine Kero, Dorinda Schumann, Tracy Ohrt, Sanjit Singh Batra, Gregory D. Lyng, Robert E. Tillman
2025 — conf
SECRET: Semi-supervised Clinical Trial Document Similarity Search.
ACL (1)
Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun
2025 J jnl
SECRET: Semi-supervised Clinical Trial Document Similarity Search.
CoRR
Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun
2024 J jnl
Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark.
CoRR
Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun
2024 J jnl
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning.
CoRR
Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason G. Mezey, Jimeng Sun
2024 J jnl
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM.
CoRR
Trisha Das, Dina Albassam, Jimeng Sun
2023 — conf
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning.
ICHI
Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong
2023 A* conf
TWIN: Personalized Clinical Trial Digital Twin Generation.
KDD
Trisha Das, Zifeng Wang, Jimeng Sun
2023 J jnl
TopicAdapt- An Inter-Corpora Topics Adaptation Approach.
CoRR
Pritom Saha Akash, Trisha Das, Kevin Chen-Chuan Chang
2023 J jnl
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.
J. Am. Medical Informatics Assoc.
Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong