Trisha Das

According to our database, Trisha Das authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SECRET: Semi-supervised Clinical Trial Document Similarity Search.

Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

CTO Dataset: A Clinical Trial Outcome Benchmark.

Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun

Dataset, June, 2024

CTO Dataset: A Clinical Trial Outcome Benchmark.

Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun

Dataset, June, 2024

CTO Dataset: A Clinical Trial Outcome Benchmark.

Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun

Dataset, June, 2024

SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning.

Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason G. Mezey, Jimeng Sun

CoRR, 2024

Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM.

Trisha Das, Dina Albassam, Jimeng Sun

CoRR, 2024

Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark.

Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun

CoRR, 2024

2023

Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.

Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong

J. Am. Medical Informatics Assoc., September, 2023

TopicAdapt- An Inter-Corpora Topics Adaptation Approach.

Pritom Saha Akash, Trisha Das, Kevin Chen-Chuan Chang

CoRR, 2023

TWIN: Personalized Clinical Trial Digital Twin Generation.

Trisha Das, Zifeng Wang, Jimeng Sun

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning.

Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023