| GeneAgent: Self-verification Language Agent for Gene Set Knowledge Discovery using Domain Databases Z Wang, Q Jin, CH Wei, S Tian, PT Lai, Q Zhu, CP Day, C Ross, Z Lu arXiv preprint arXiv:2405.16205, 2024 | | 2024 |
| Response to Letter to Editor ‘Timely need for navigating the potential and downsides of LLMs in healthcare and biomedicine’ S Tian, Q Jin, Z Lu Briefings in Bioinformatics 25 (3), bbae211, 2024 | | 2024 |
| Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study Z He, B Bhasuran, Q Jin, S Tian, K Hanna, C Shavor, LG Arguello, ... Journal of Medical Internet Research 26, e56655, 2024 | 1 | 2024 |
| PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge CH Wei, A Allot, PT Lai, R Leaman, S Tian, L Luo, Q Jin, Z Wang, Q Chen, ... Nucleic Acids Research, gkae235, 2024 | 4 | 2024 |
| Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study Z He, B Bhasuran, Q Jin, S Tian, K Hanna, C Shavor, LG Arguello, ... ArXiv, 2024 | | 2024 |
| Information Retrieval and Classification of Real-Time Multi-Source Hurricane Evacuation Notices T Zhao, S Tian, J Daly, M Geiger, M Jia, J Zhang arXiv preprint arXiv:2401.06789, 2024 | | 2024 |
| Opportunities and challenges for ChatGPT and large language models in biomedicine and health S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ... Briefings in Bioinformatics 25 (1), bbad493, 2024 | 71 | 2024 |
| Finding biotic anomalies described in specimen label text is a challenge that artificial intelligence can address A Mast, S Tian, Z He, E Krimmel, F Pichardo-Marcano, M Buckley, ... BAUHINIA–Zeitschrift der Basler Botanischen Gesellschaft 29, 125–126-125–126, 2023 | | 2023 |
| BioKG: a comprehensive, large-scale biomedical knowledge graph for AI-powered, data-driven biomedical research Y Zhang, X Sui, F Pan, K Yu, K Li, S Tian, A Erdengasileng, Q Han, ... bioRxiv, 2023 | 1 | 2023 |
| Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model S Tian, P Yin, H Zhang, A Erdengasileng, J Bian, Z He 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| BioKG: a comprehensive, high-quality biomedical knowledge graph for AI-powered, data-driven biomedical research Y Zhang, F Pan, X Sui, K Yu, K Li, S Tian, A Erdengasileng, Q Han, ... | | 2023 |
| Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches MO Killian, S Tian, A Xing, D Hughes, D Gupta, X Wang, Z He JMIR cardio 7, e45352, 2023 | 1 | 2023 |
| (26) Predicting Health Outcomes Using Machine Learning in Pediatric Heart Transplantation Using UNOS Data MO Killian, S Tian, A Xing, D Gupta, Z He The Journal of Heart and Lung Transplantation 42 (4), S22, 2023 | | 2023 |
| Annotation and information extraction of consumer-friendly health articles for enhancing laboratory test reporting Z He, S Tian, A Erdengasileng, K Hanna, Y Gong, Z Zhang, X Luo, ... AMIA Annual Symposium Proceedings 2023, 407, 2023 | 1 | 2023 |
| Towards interpretable multimodal predictive models for early mortality prediction of hemorrhagic stroke patients FB Emdad, S Tian, E Nandy, K Hanna, Z He AMIA Summits on Translational Science Proceedings 2023, 128, 2023 | 13 | 2023 |
| Using Twitter data analysis to understand the perceptions, awareness, and barriers to the wide use of pre-exposure prophylaxis in the United States A Erdengasileng, S Tian, SS Green, S Naar, Z He 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| Motivation to engage in aging research: are there typologies and predictors? DC Carr, S Tian, Z He, S Chakraborty, M Dieciuc, N Gray, ... The Gerontologist 62 (10), 1466-1476, 2022 | 9 | 2022 |
| Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy A Singh, S Chakraborty, Z He, S Tian, S Zhang, MLA Lustria, N Charness, ... Frontiers in Psychology 13, 980778, 2022 | 9 | 2022 |
| A machine-learning based approach for predicting older adults’ adherence to technology-based cognitive training Z He, S Tian, A Singh, S Chakraborty, S Zhang, MLA Lustria, N Charness, ... Information processing & management 59 (5), 103034, 2022 | 8 | 2022 |
| Predicting health outcomes through machine learning in pediatric heart transplantation: Use of national data from the United Network for Organ Sharing MO Killian, S Tian, A Xing, D Hughes, D Gupta, Z He | | 2022 |
Zhe He, PhD, Fellow of AMIA, IEEE Se...Associate Professor, Florida State University; Interim Director, Institute for Successful Longevity在 cci.fsu.edu 的电子邮件经过验证
