Transformer-based named entity recognition for parsing clinical trial eligibility criteria. - Shubo Tian; Arslan Erdengasileng; Xi Yang 015; Yi Guo 005; Yonghui Wu; Jinfeng Zhang; Jiang Bian 001; Zhe He 001 (BCB, 2021)

Using Twitter Data Analysis to Understand the Perceptions, Awareness, and Barriers to the Wide Use of Pre-Exposure Prophylaxis in the United States. - Arslan Erdengasileng; Shubo Tian; Sara S. Green; Sylvie Naar; Zhe He 001 (BIBM, 2022)

Pre-trained models, data augmentation, and ensemble learning for biomedical information extraction and document classification. - Arslan Erdengasileng; Qing Han; Tingting Zhao; Shubo Tian; Xin Sui; Keqiao Li; Wanjing Wang; Jian Wang; Ting Hu; Feng Pan; Yuan Zhang; Jinfeng Zhang (Database J. Biol. Databases Curation, 2022)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records. - Zhe He 001; Shubo Tian; Arslan Erdengasileng; Neil Charness; Jiang Bian 001 (CoRR, 2022)

Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. - Shubo Tian; Pengfei Yin; Hansi Zhang; Arslan Erdengasileng; Jiang Bian 001; Zhe He 001 (BIBM, 2023)

Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII. - Robert Leaman; Rezarta Islamaj; Virginia Adams; Mohammed Alliheedi; João Rafael Almeida; Rui Antunes 002; Robert Bevan; Yung-Chun Chang; Arslan Erdengasileng; Matthew Hodgskiss; Ryuki Ida; Hyunjae Kim; et al. (Database J. Biol. Databases Curation, 2023)

A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research. - Yuan Zhang; Xin Sui; Feng Pan; Kaixian Yu; Keqiao Li; Shubo Tian; Arslan Erdengasileng; Qing Han; Wanjing Wang; Jianan Wang; Jian Wang; Donghu Sun; et al. (Nat. Mac. Intell., 2025)