Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. - Kritib Bhattarai; Sivaraman Rajaganapathy; Trisha Das; Yejin Kim 001; Yongbin Chen; Qiying Dai; Xiaoyang Li; Xiaoqian Jiang; Nansu Zong (ICHI, 2023)

TWIN: Personalized Clinical Trial Digital Twin Generation. - Trisha Das; Zifeng Wang 008; Jimeng Sun 001 (KDD, 2023)

TopicAdapt- An Inter-Corpora Topics Adaptation Approach. - Pritom Saha Akash; Trisha Das; Kevin Chen-Chuan Chang (CoRR, 2023)

Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. - Kritib Bhattarai; Sivaraman Rajaganapathy; Trisha Das; Yejin Kim 001; Yongbin Chen; Qiying Dai; Xiaoyang Li; Xiaoqian Jiang; Nansu Zong (J. Am. Medical Informatics Assoc., 2023)

Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (CoRR, 2024)

Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM. - Trisha Das; Dina Albassam; Jimeng Sun 001 (CoRR, 2024)

SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning. - Trisha Das; Zifeng Wang 008; Afrah Shafquat; Mandis Beigi; Jason G. Mezey; Jimeng Sun 001 (CoRR, 2024)

CTO Dataset: A Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (Zenodo, 2024)

CTO Dataset: A Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (Zenodo, 2024)

CTO Dataset: A Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (Zenodo, 2024)

SECRET: Semi-supervised Clinical Trial Document Similarity Search. - Trisha Das; Afrah Shafquat; Mandis Beigi; Jacob Aptekar; Jimeng Sun 001 (ACL (1), 2025)