Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records. - Shaika Chowdhury; Yongbin Chen; Xiao Ma 019; Qiying Dai; Yue Yu; Nansu Zong (BCB, 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 001; Yongbin Chen; Qiying Dai; Xiaoyang Li; Xiaoqian Jiang; Nansu Zong (ICHI, 2023)

Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection. - Edith Mensah Otabil; Qiying Dai; Paula Anzenberg; Andreas Filippaios; Eric Ding 001; Jordy Mehawej; Joanne E. Mathew; Darleen Lessard; Ziyue Wang; Kamran Noorishirazi; Alexander Hamel; Tenes Paul; et al. (Frontiers Digit. Health, 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)

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. - Shaika Chowdhury; Yongbin Chen; Pengyang Li; Sivaraman Rajaganapathy; Andrew Wen; Xiao Ma 019; Qiying Dai; Yue Yu; Sunyang Fu; Xiaoqian Jiang; Zhe He 001; Sunghwan Sohn; et al. (J. Am. Medical Informatics Assoc., 2024)

Advancing efficacy prediction for electronic health records based emulated trials in repurposing heart failure therapies. - Nansu Zong; Shaika Chowdhury; Shibo Zhou; Sivaraman Rajaganapathy; Yue Yu; Liewei Wang; Qiying Dai; Pengyang Li; Xiaoke Liu; Suzette J. Bielinski; Jun Chen; Yongbin Chen; et al. (npj Digit. Medicine, 2025)