Rui Zhang, PhD, FAMCI, FAMIA, FIAHSI
Mayo D528, 420 Delaware St SE, Minneapolis, MN 55455
Biography
Dr. Zhang is Professor and Founding Chief of Division of Computational Health Sciences at the University of Minnesota. He was named as McKnight Presidential Fellow and hold several leadership roles, including Chair of AI and Data science for Healthcare workgroup within the UMN’s Data Science and AI Hub, Associate Director of Health AI & Data Science for the Center for Learning Health System Sciences, the Director of Natural Language Processing/Information Extraction (NLP/IE) research program, and previously served as Director of NLP at UMN’s Clinical and Translational Science Institute. Dr. Zhang’s research is at the forefront of integrating novel AI with healthcare research and practice, analyzing multimodal biomedical data, including electronic health records, biomedical literature, and patient-generated data. His research is fully supported by multiple NIH grants as Principal Investigator, focusing on transformative AI projects including mining safety use of dietary supplements (two NCCIH R01s), discovering drug repurposing of Alzheimer’s disease (NIA R01), predicting breast cancer treatment related cardiotoxicity (NCI R01), identifying medical language bias in kidney transplantation (NIDDK R01), and develop knowledge graph on complementary and integrative health (NCCIH U01). He has published over 150 peer-reviewed articles, including Natural Medicine, Natural Communications, Natural Digital Medicine. His work has been reported by The Wall Street Journal, and interviewed by CBS News. Dr. Zhang is a Fellow of International Academy of Health Sciences Informatics (FIAHSI), Fellow of American College of Medical Informatics (FACMI) and Fellow of AMIA. He is the current Chair of AMIA Natural Language Processing (NLP) Working Group.
Rui Zhang, PhD, FAMIA, Chief of the Division of Computational Health Sciences in the News:
- Research Spotlight: Dr. Zhang Received an R01 Renewal Developing Novel AI Approach to Mine Effective & Safe Use of Dietary Supplements
- Dr. Zhang Received a New R01 to Research Drug Repurposing for Alzheimer's Disease
- U of M researchers receive $1.2M to study role of AI in breast cancer treatment
- Center for Learning Health System Sciences: All of Us Risk Modeling
- Detecting synergistic effects of pharmacological and non-pharmacological interventions for Alzheimer's disease and related dementia
Education
PhD, University of Minnesota
Major: Health Informatics
MS, University of Iowa
Major: Informatics
MS, University of Iowa
Major: Chemistry
MS, University of Science & Technology of China
Major: Chemistry
Publications
Bompelli, A., Silverman, G., Finzel, R., Vasilakes, J., Knoll, B., Pakhomov, S., Zhang, R., 2020. Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT. International Conference on Artificial Intelligence in Medicine 67--77.
Yi, Y., Shen, Z., Bompelli, A., Yu, F., Wang, Y., Zhang, R., 2020. Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer’s Disease from Clinical Notes. IEEE ICHI. HealthNLP Workshop 2020
He, Z., Barrett, L. A., Rizvi, R., Tang, X., Payrovnaziri, S. N., Zhang, R., 2020. Assessing the Use and Perception of Dietary Supplements Among Obese Patients with National Health and Nutrition Examination Survey. AMIA Summits on Translational Science Proceedings, 2020: 231.
Vasilakes, J., Rizvi, R., Terrence, A., R, Z., 2019. Detecting Signals of Dietary Supplement Adverse Events from the CFSAN Adverse Event Reporting System (CAERS). AMIA Informatics Summit
He, Z., Rizvi, R., Terrence, A., Zhang, R., 2019. Comparing the Study Populations in Dietary Supplement and Drug Clinical Trials for Metabolic Syndrome and Related Disorders. (in press). AMIA Informatics Summit,
Ma, S., Zhang, R., Shanahan, L., Munroe, J., Horn, S., Speedie, S., 2018. Estimating New York Heart Association Classification for Heart Failure Patients from Information in the Electronic Health Record.. IEEE International conference on Bioinformatics and Biomedicine
He, X., Zhang, R., Rizvi, R., Vasilakes, J., Yang, X., Guo, Y., He, Z., Bian, J., 2018. Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. IEEE International Conference on Bioinformatics and Biomedicine
Rizvi, R. F., Adam, T. J., Lindemann, E. A., Vasilakes, J., Pakhomov, S. V., Bishop, J. R., Melton, G. B., Zhang, R., 2018. Comparing Existing Resources to Represent Dietary Supplements. AMIA Summits on Translational Science Proceedings, 2017: 207-216.
Fan, Y., Zhang, R., 2018. Using natural language processing methods to classify use status of dietary supplements in clinical notes. BMC medical informatics and decision making, 18 (Suppl 2): 51.
Zhang, R., Meng, J., Lian, Q., Chen, X., Bauman, B., Chu, H., Segura, B., Roy, S., 2018. Prescription opioids are associated with higher mortality in patients diagnosed with sepsis: A retrospective cohort study using electronic health records. PLoS ONE, 13 (1): e0190362.
doi: https://doi.org/10.1371/journal.pone.0190362
Vasilakes, J., Rizvi, R., Melton, G. B., Pakhomov, S., Zhang, R., 2018. Evaluating active learning methods for annotating semantic predications. JAMIA Open, 1 (2): 275--282.
Breitenstein, M. K., Liu, H., Maxwell, K. N., Pathak, J., Zhang, R., 2018. Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats from Treatment of Breast Cancer at a Single Institution. Clinical and Translational Science, 11 (1): 85-92.
doi: https://doi.org/10.1111/cts.12514
Pope, Z., Zeng, N., Zhang, R., Lee, H., Gao, Z., 2018. Effectiveness of Combined Smartwatch and Social Media Intervention on Breast Cancer Survivor Health Outcomes: A 10-Week Pilot Randomized Trial. Journal of clinical medicine, 7 (6): 140.
Zhang, R., Ma, S., Shanahan, L., Munroe, J., Horn, S., Speedie, S., 2018. Discovering and identifying New York heart association classification from electronic health records. BMC medical informatics and decision making, 18 (2): 48.
He, Z., Tao, C., Bian, J., Zhang, R., Huang, J., 2018. Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017). BioMed Central,
Wang, Y., Zhao, Y., Bian, J., Zhang, R., 2018. Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter. 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W) 53--54.
Hultman, G., McEwan, R., Knoll, B., Zhang, R., Pakhomov, S., NLP-PIER 2.0: A Redesigned Clinical Document Search Interface for Researchers.. AMIA Clinical Informatics.
Publications since Jan 1, 2023:
1. Zhou H, Gu H, Liu X, Zhou K, Liang M, Xiao Y, Govindan S, Chawla P, Yang J, Meng X, Li H, Zhang B, Luo L, Chen W, Han Y, Long B, Zhang R, Chen T. The efficiency vs accuracy trade-off optimizing RAG-enhanced LLM recommender systems using multi-head early exit. ACL. 2025.
2. Yang Han, Li M, Zhou H, Zhao Y, Fang Q, Zhou S, Zhang R. One LLM is not enough: harnessing the power of ensemble learning for medical question answering. JMIR. 2025.
3. Xian X, Wang G, Bi X, Zhang R, Srinivasa J, Kundu A, Fleming C, Hong M, Ding J. On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. ICML 2025.
4. Chen Q, Hu Y, Peng X, Xie Q, Jin Q, Gilson A, Singer M, Raja K, Huang J, He H, Du J, Zhang R, Zheng J, Adelman R, Lu Z, Xu H. A systematic evaluation of large language models for biomedical natural language processing: benchmarks, baselines, and recommendations. Nature Communications. 16, 3280 (2025). https://doi.org/10.1038/s41467-025-56989-2.
5. Thakkar V, Silverman G, Kc A, Ingraham N, Jones E, King S, Melton G, Zhang R, Tignanelli C. A comparative analysis of large language models versus traditional information extraction methods for real-world evidence of patient symptomatology in acute and post-acute sequelae of SARS-CoV-2. PLOS ONE. In press
6. Ranallo P, Melton G. Zhang R, Cimino J, Krueger R. A Preliminary Ontological Model for Assessment Instruments. AMIA Informatics Summit, 2025. (in press).
7. Liu Y, Zhang R. Identifying Dietary Supplements Related Effects from Social Media by ChatGPT. AMIA Informatics Summit, 2025. (in press).
8. Zhou S, Lin M, Ding S, Wang J, Melton G, Zou J, Zhang R. Explainable Differential Diagnosis with Dual-Inference Large Language Models. npj Health Systems. 2, 12 (2025). https://doi.org/10.1038/s44401-025-00015-6
9. Zhang R, Zou J, Beecy A, Zhang Y, Bian J, Melton-Meaux G, Tao C. Making shiny objective illuminating: the promise and challenges of large language models in U.S. Health systems. Npj Health Systems. 2025.
10. Hou Y, Bishop J, Liu H, Zhang R. Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation (RAG) System with Large Language Models. Journal of Medical Internet Research. 2025;27:e67677
11. Raja S, Chowdhury S, buchner V, He Z, Zhang R, Jiang X, Yang P, Cerhan J, Zong N. Synoptic Reporting by Summarizing Cancer Pathology Reports using Large Language Models. Npj Health Systems. 2025. In press.
12. Zhan Z, Li M, Zhou H, Zhang R. Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models. NAACL. 2025.
13. You Chen, Yubo Feng, Xinmeng Zhang, Katherine A. Gifford, Yasser Elmanzalawi, Jason Samuels, Vance L. Albaugh, Wayne J. English, Charles R. Flynn, Danxia Yu, Rui Zhang, Sayeed Ikramuddin. Bariatric Surgery is Associated with Reduced Incidence of Mild Cognitive Impairment and Alzheimer's Disease and Related Dementias: A Retrospective Cohort Study. Annals of Surgery Open 6(1):p e541, March 2025. DOI: 10.1097/AS9.0000000000000541
14. Idnay B, Xu Z, Adams WG, Adibuzzaman M, Anderson NR, Bahroos N, Bell DS, Bumgardner C, Campion T, Castro M, Cimino JJ, Cohen IG, Dorr D, Elkin PL, Fan JW, Ferris T, Foran DJ, Hanauer D, Hogarth M, Huang K, Kalpathy-Cramer J, Kandpal M, Karnik NS, Katoch A, Lai AM, Lambert CG, Li L, Lindsell C, Liu J, Lu Z, Luo Y, McGarvey P, Mendonca EA, Mirhaji P, Murphy S, Osborne JD, Paschalidis IC, Harris PA, Prior F, Shaheen NJ, Shara N, Sim I, Tachinardi U, Waitman LR, Wright RJ, Zai AH, Zheng K, Lee SS, Malin BA, Natarajan K, Price Ii WN, Zhang R, Zhang Y, Xu H, Bian J, Weng C, Peng Y. Environment scan of generative AI infrastructure for clinical and translational science. Npj Health Syst. 2025;2(1):4. doi: 10.1038/s44401-024-00009-w. Epub 2025 Jan 25.
15. Li M, Kiligluco H, Xu H, Zhang R. BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine. Journal of Biomedical Informatics. 2025 Jan 13;162:104769. doi: 10.1016/j.jbi.2024.104769. Epub ahead of print. PMID: 39814274.
16. Trujeque J, Dudley A, Mesfin N, Ingraham N, Ortiz I, Bangerter A, Chakraborty A, Shutte D, Yeung J, Liu Y, Woodward-Abel A, Bromley E, Zhang R, Brenner L, Simonetti J, Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records. J Am Med Inform Assoc. Volume 32, Issue 1, January 2025, Pages 113–118.
17. Yan Y, Hou Y, Xiao Y, Zhang R, Wang Q. KNowNEt:Guided Health Information Seeking from LLMs via Knowledge Graph Integration. IEEE Trans Vis Comput Graph. 2025 Jan;31(1):547-557. doi: 10.1109/TVCG.2024.3456364.
18. Zhan Z, Zhou S, Li M, Zhou H, Xiao Y, Zhang R. RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements. J Am Med Inform Assoc. 2025 Jan 11:ocaf002. doi: 10.1093/jamia/ocaf002. Epub ahead of print. PMID: 39798153.
19. Austin, R.R., Jantraporn, R., Schulz, C., Zhang, R. Navigating Online Health Information: Assessing the Quality and Readability of Dietary and Herbal Supplements for Chronic Musculoskeletal Pain. Topics in Pain Management. 40(7), 2025.
20. Li M*, Ling C, Zhang R, Zhao L, A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. IEEE International Conference on Data Mining (ICDM) 2024.
21. Xiao Y, Zhang S, Zhou H, Li M, Yang H, Zhang R. FuseLinker: Leveraging LLM’s Pre-trained Text Embeddings and Domain Knowledge to Enhance GNN-Based Link Prediction on Biomedical Knowledge Graphs. Journal of Biomedical Informatics. 2024. doi.org/10.1016/j.jbi.2024.104730.
22. Hou Y, Cui E, Ikramuddin S, Zhang R. Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program. medRxiv. 2024 Nov 12;. doi: 10.1101/2024.11.11.24317124.
23. Yan Y, Hou Y, Xiao Y, Zhang R#, Wang Q#. Guided Health-related Information Seeking from LLMs via Knowledge Graph Integration. IEEE VIS: Visualization & Visual Analytics. 2024 (honorable mention)
24. Zhou S, Zha D, Shen X, Huang X, Zhang R, Chung K. Denoising-Aware Contrastive Learning for Noisy Time Series. IJCAI (International Joint Conference on Artificial Intelligence). 2024.
25. Huixue Zhou, Mingchen Li, Yongkang Xiao, Han Yang, Rui Zhang, LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction, Journal of the American Medical Informatics Association, Volume 31, Issue 9, September 2024, Pages 2010–2018. (Featured article)
26. He X, Wei R, Huang Y, Chen Z, Lyu T, Bost S, Tong J, Li L, Zhou Y, Li Z, Guo J, Tang H, Wang F, DeKosky S, Xu H, Chen Y, Zhang R, Xu J, Guo Y, Wu Y, Bian J. Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data. Alzheimers Dement (Amst). 2024 Jul-Sep;16(3):e12613.
27. Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Zhang R, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn, A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction, Journal of the American Medical Informatics Association, Volume 31, Issue 7, July 2024, Pages 1493–1502, (Editor’s Choice).
28. Yang H, Zhou S, Rao Z, Zhao C, Cui E, Shenoy C, Blaes A, Pamidimukkala N, Hou Y, Wang J*, Hou J*, Zhang R*. Multi-Modality Risk Prediction of Cardiovascular diseases for Breast Cancer cohort in the All of Us Research Program. Journal of American Medical Informatics Association. 2024 Volume 31, Issue 12, December 2024, Pages 2800–2810 (Editor’s choice).
29. Sarker A, Zhang R, Wang Y, Xiao Y, Das S, Schutte D, Oniani D, Xie Q, Xu H. Natural Language Processing for Digital Health in the Era of Large Language Models. Yearb Med Inform 2024; 33(01): 229-240.
30. Yan Y, Hou Y, Xiao Y, Zhang R, Wang Q. Guided Health-related Information Seeking from LLMs via Knowledge Graph Integration. IEEE VIS: Visualization and Visual Analytics. 2024
31. Li M, Zhou H, Yang H, Zhang R. RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition. J Am Med Inform Assoc. 2024 May 6:ocae095. doi: 10.1093/jamia/ocae095. Epub ahead of print. PMID: 38708849.
32. Fu S, Wang L, He H, Wen A, Zong N, Kumari A, Liu F, Zhou S, Zhang R, Li C, Wang Y, Sauver J, Liu H, Sohn S. An Error Taxonomy for Advancing Systematic Error Analysis in Multi-site Electronic Health Record-based Clinical Concept Extraction. J Am Med Inform Assoc. 2024 (in press)
33. Zhou S, Zha D, Shen X, Huang X, Zhang R, Chung F, Denoising-aware contrastive learning for noisy time series. International Joint Conference on Artificial Intelligence (IJCAI) 2024.
34. Peng L, Luo X, Zhou S, Chen J, Sun J, Zhang R. An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing for Information Extraction. NPJ digital Medicine. 2024 May 15;7(1):127. doi: 10.1038/s41746-024-01126-4.
35. Austin R, Jantraporn R, Schulz C, Zhang R. Navigating Online Health Information: Assessing the Quality and Readability of Dietary and Herbal Supplements for Chronic Musculoskeletal Pain. CIN: Computers, Informatics, Nursing. 2024.
36. Skoufis N, Zhang R, Chen Y. Measuring Associations Between Community-Level Social Determinants of Health and Bariatric Surgery Weight Loss Outcomes. Stud Health Technol Inform. 2024 Jan 25;310:1317-1321. doi: 10.3233/SHTI231178. PMID: 38270028.
37. Li M, Ling C, Zhang R, Zhao L. A condensed transition graph framework for zero-shot link prediction with large language models. arXiv:2402.10779
38. Luo Y, Hooshang Nejad H, Feng X, Huang G, Zhang R, Chen Q, Ding K. False positive reduction in pulmonary cancer detection based on GPT-4V. Medical imaging with deep learning. 2024.
39. Boguang Sun, Pui Ying Yew, Chih-Lin Chi, Meijia Song, Matt Loth, Yue Liang, Rui Zhang, and Robert Straka. Development and validation of the pharmacological statin-associated muscle symptoms risk stratification score using electronic health record data. Clinical Pharmacology & Therapeutics. Accepted. 2024
40. Dauner D, Leal E, Adam T, Zhang R, Farley J. Evaluation of four machine learning models for signal detection. Therapeutic Advances in Drug Safety. 2023 accepted.
41. Zhou H, Austin R, Lu S, Silverman G, Zhou Y, Kilicoglu H, Xu H, Zhang R. Complementary and integrative health information in the literature: its lexicon and named entity recognition. J Am Med Inform Assoc. 2024,31(2): 426-434.
42. Su C, Hou Y, Wang F, Zhang R. Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph. STAR Protocol. 2023, 4(4):102666.
43. Zhou S, Wang N, Wang LW, Sun J, Blaes A, Liu H, Zhang R. A cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records. Computational and Structural Biotechnology Journal. 2023;22:32-40.
44. Knoll B, Gunderson M, Rajamani G, Wick EC, Colley A, Lindemann E, Rizvi R, Diethelm M, Hultman G, Pierce L, Zhang R, Melton G. Studies in health technology and informatics. 2023:310:609-613.
45. Silverman G, Rajamani G, Ingraham N, Glover J, Sahoo H, Usher M, Zhang R, Ikramuddin F, Melnik T, Melton G, Tignanelli C. A symptom-based natural language processing surveillance pipeline for post-COVID-19 patients. Studies in health technology and informatics. 2023:310:860-864.
46. Sun B, Yew P, Chi C, Song M, Zhang R, Straka R. Development and Application of Pharmacological Statin-Associated Muscle Symptoms Phenotyping Algorithms Using Structured and Unstructured Electronic Health Records Data. Journal of American Medical Informatics Association Open.2023.
47. Liu S, Wen A, Wang L, He H, Fu S, Miller R, Williams A, Harris D, Kavuluru R, Liu M, Abu-El-Rub N, Schutte D, Zhang R, Rouhizadeh M, Osborne JD, He Y, Topaloglu U, Hong SS, Saltz JH, Schaffter T, Pfaff E, Chute CG, Duong T, Haendel MA, Fuentes R, Szolovits P, Xu H, Liu H; National COVID Cohort Collaborative (N3C) Natural Language Processing (NLP) Subgroup, National COVID Cohort Collaborative (N3C). An Open Natural Language Processing (NLP) Framework for EHR-based Clinical Research: A Case Demonstration Using the National COVID Cohort Collaborative (N3C). Journal of American Medical Informatics Association. 2023 Aug 9:ocad134. doi: 10.1093/jamia/ocad134. Epub ahead of print. PMID: 37555837.
48. Zhou H, Silverman G, Niu Z, Silverman J, Evans R, Austin R, Zhang R. Extracting Complementary and Integrative Health Approaches in Electronic Health Records Journal of Healthcare Informatics Research. 2023, 7(3):277-290.
49. Gao Z, Ryu S, Zhou W, Adams K, Hassan M, Zhang R, Blaes A, Wolfson J, Sun J. Effects of personalized exercise prescriptions and social media delivered through mobile health on cancer survivors’ physical activity and quality of life. Journal of Sport and Health Science. 2023, 12(6): 705-714.
50. Hooshangnejad H, Chen Q, Feng X, Zhang R, Farjam R, Voong R, Hales R, Du Y, Jia X, Ding K. DAART: a Deep Learning Platform for Deeply Accelerated Adaptive Radiation Therapy for Lung Cancer. Frontiers in Oncology (In press).
51. Hooshangnejad H, Chen Q, Feng X, Zhang R, Ding K. deepPERFECT: Novel Deep Learning CT Synthesis Method for Expeditious Pancreatic Cancer Radiotherapy. Cancers. 15(11), 3061.
52. Chang Su, Yu Hou , Manqi Zhou , Suraj Rajendran, Jacqueline R. M. A. Maasch, Zehra Abedi, Haotan Zhang Zilong Bai, Anthony Cuturrufo, Winston Guo, Fayzan F. Chaudhry, Gregory Ghahramani, Jian Tang, Feixiong Cheng, Yue Li, Rui Zhang, Steven T DeKosky, Jiang Bian, Fei Wang. Biomedical Discovery through the integrative Biomedical Knowledge Hub (iBKH). iScience. 2023 Mar 21;26(4):106460. doi: 10.1016/j.isci.2023.106460. PMID: 37020958; PMCID: PMC10068563.
53. Vipina K. Keloth, Juan M. Banda; Michael Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller; Karthik Natarajan; Olga V Patterson; Yifan Peng; Kalpana Raja; Ruth M. Reeves; Masoud Rouhizadeh; Jianlin Shi; Xiaoyan Wang; Yanshan Wang; Wei-Qi Wei; Andrew E. Williams; Rui Zhang; Rimma Belenkaya; Christian Reich; Clair Blacketer; Patrick Ryan; George Hripcsak; Noémie Elhadad; Hua Xu. Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach. Journal of Biomedical Informatics. 2023 Mar 17:104343. doi: 10.1016/j.jbi.2023.104343. Epub ahead of print. PMID: 36935011.
54. Hou Y, Yeung J, Xu H, Su C, Wang F, Zhang R. From Answers to Insights: Unveiling the Strengths and Limitations of ChatGPT and Biomedical Knowledge Graphs. medRxiv. 2023 June 12;. doi: 10.1101/2023.06.09.23291208.
55. Skoufis N, Zhang R, Chen Y. Measuring associations between community-level social determinants of health and bariatric surgery weight loss outcomes. Stud Health Technol Inform. 2023 (in press)
56. Tariq R*Malik Sheza, Roy M, Islam M, Rasheed U, Bian J, Zheng K, Zhang R. Assessing ChatGPT for text summarization, simplification and extraction tasks. IEEE International Conference on Healthcare Informatics. 2023 (in press)
57. Silverman G, Rajamani G, Ingraham N, Glover J, Sahoo H, Niu Z, Usher M, Zhang R, Ikramuddin F, Melnik T, Melton G, Tignanelli C. A symptom based natural language processing surveillance pipeline for post-COVID-10 patients. Stud Health Technol Inform. 2023 (in press)
58. Dauner D*, Zhang R, Adam T, Leal E, Heitlage V, Farley J. Performance of subgrouped proportional reporting ratios in the US Food and Drug Administration (FDA) Adverse Event Reporting System. Expert Opinion on Drug Safety(accepted) 2023.
Awards, Honors and Recognitions
Outstanding Teaching and Dedication, Center for Educational Innovation, UMN, 2019
Student paper competition finalist, Post-doctorate associate’s manuscript (senior author) , AMIA Translational Bioinformatics , 2018
Undergraduate Research Opportunity Program (UROP) Award, Advisor for undergraduate students, University of Minnesota, 2018
Doctoral Dissertation Fellowship, PhD student awarded the (as her primary advisor), University of Minnesota, 2018
Student paper competition, PhD student’s manuscript (senior author), AMIA Translational Bioinformatics , 2017
McKnight Land-Grant Professorship Award , University of Minnesota, 2017
Research project highlighted, How Your Supplements Interact With Prescription Drugs, The Wall Street Journal Health Headline, 2016
Best Poster Award, IEEE International Conference on Biomedical and Health Informatics , 2016
Distinguished Paper Award , AMIA Annual Symposium , 2016
Marco Ramoni Distinguished Paper Award , Manuscript (first author) , Translational Bioinformatics, 2015
University of Minnesota Informatics Institute (UMII) On the Horizon Award , University of Minnesota, 2014
Student paper competition finalist, Manuscript (first author) , AMIA Joint Summits on Translational Science , 2014
Editors’ Choice, Journal of Biomedical Informatics , 2014
Scholarship, Health Information and Management Systems Society (HIMSS) Minnesota Chapter, 2013
Student paper competition finalist, Manuscript (first author) , MEDINFO - The14th World Congress on Medical and Health Informatics of the International Medical Informatics Association, 2013
Travel Award, Association for Computing Machinery , 2012
Travel Award, University of Minnesota, 2012
Health Informatics Graduate Fellowship, University of Minnesota, 2012
Doctoral Dissertation Fellowship (All-University Competition), University of Minnesota, 2012
Fellowship of the International Partnership in Health Informatics Education (IPHIE) Master Class, , University of Heidelberg-University of Heilbronn, Germany, 2011
Student paper competition finalist, Manuscript (first author) , AMIA Annual Symposium , 2011
Travel Award, American Medical Informatics Association, 2011
Presentations
Zhang, R. "(Invited) Biomedical natural language processing for information extraction and knowledge discovery", Indiana University/Regenstrief Institute, Indiana University/Regenstrief Institute, Indianapolis, Indiana. January 22, 2019.
Ma, S., (Author & Presenter), Zhang, R., (Author) "Estimating New York Heart Association Classification for Heart Failure Patients from Information in the Electronic Health Record", IEEE International conference on Bioinformatics and Biomedicine.. December 03, 2018.
He, X., Zhang, R. "Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph", IEEE International Conference on Bioinformatics and Biomedicine. December 03, 2018.
Zhang, R. "Data science in healthcare: natural language processing to unlock healthcare information", Wayne State University, Detriot, Michigan. November 18, 2018.
Zhang, R. "Biomedical text analytics for computational health sciences", Weill Cornell Medical College, Cornell University, Weill Cornell Medical College, Cornell University, New York, New York. October 22, 2018.
Zhang, R. "Analyzing clinical texts for computational health sciences", Anthem Inc, , Chicago. October 11, 2018.
Zhang, R. "Mining adverse events of supplements using product labeling data", NIH, Office of Dietary Supplements. September 18, 2018.
Zhang, R. "Data Science for Discovering and Monitoring Drug Safety on Biomedical Big Data", COP presentation for Shenyang Pharmaceutical University, University of Minnesota. August 17, 2018.
Zhang, R. "Unlocking clinical records for computational health sciences", University of California San Francisco, San Francisco, California. July 25, 2018.
Wang, Y., (Author & Presenter), Zhang, R., (Author) "Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter.", 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W) . June 07, 2018.
Rizvi, R., (Author & Presenter), Zhang, R., (Author) "Comparing Existing Resources to Represent Dietary Supplements ", American Medical Informatics Association Annual Symposium, AMIA, San Francisco, California, United States. March 01, 2018.
Fan, Y., (Author & Presenter) "Evaluating Automatic Methods to Extract Patients’ Supplement Use from Clinical Reports", IEEE International conference on Bioinformatics and Biomedicine, Kansas city, Kansas. November 13, 2017.
Zhang, R., (Author & Presenter) "Automatic Methods to Extract New York Heart Association Classification from Clinical Notes", IEEE International conference on Bioinformatics and Biomedicine, Kansas city, Kansas, United States. November 13, 2017.
Sun, D. "Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications", Proceedings of the American Medical Informatics Association Symposium, Philips, Washington DC. November 08, 2017.
Zhang, R. "Data Science for Discovering and Monitoring Adverse Drug Events", Department of Surgery Resident Research Enrichment Program, University of Minnesota, Minneapolis, Minnesota. October 26, 2017.
Zhang, R. "Health Informatics to support Precision Medicine", The Minnesota Precision Medicine Collaborative Seminar. University of Minnesota, , Minneapolis, Minnesota. October 06, 2017.
Zhang, R. "Natural language processing to support dietary supplement research", American Medical Informatics Association NLP working group webinar, University of Minnesota. October 03, 2017.
Fan, Y. "Detecting Signals of Interactions between Warfarin and Supplements in Electronic Health Records", The 16th World Congress on Medical and Health Informatics, Hangzhou, China. August 01, 2017.
Wang, Y., (Author & Presenter) "Mining Adverse Events of Dietary Supplements from Product Labels by Topic Modeling", The 16th World Congress on Medical and Health Informatics,, Hangzhou, China. August 01, 2017.
Sun, D., (Author & Presenter) "Phenotyping and Visualizing Infustion-related Reactions for Breast Cancer Patients.", The 16th World Congress on Medical and Health Informatics, Philips, Hangzhou, China. August 01, 2017.
Zhang, R. "Health Informatics to facilitate clinical and translational research", College of Pharmacy Clinical Retreat, University of Minnesota, University of Minnesota, Minneapolis, Minnesota. June 08, 2017.
Zhang, R. "Unlocking patient information and pharmacovigilance knowledge from clinical narratives and biomedical literature", Department of Medicine, University of Minnesota, Minneapolis, Minnesota. March 06, 2017.
Zhang, R. "Natural language processing in healthcare domain", Biomedical informatics, Department of health outcomes and policy, College of Medicine, University of Florida, University of Minnesota. February 22, 2017.
Zhang, R. "Big data science for drug safety", College of Pharmacy, University of Minnesota, Minneapolis, Minnesota. February 07, 2017.
Zhang, R., (Author & Presenter) "Detecting Clinically Relevant New Information in Clinical Notes Across Specialties and Settings", ICIBM, Houston, Texas. December 08, 2016.
Fan, Y., (Author & Presenter) "Classification of Status for Supplement Use in Clinical Notes.", Proceedings of the IEEE International conference on Bioinformatics and Biomedicine, Shenzhen, China. December 01, 2016.
Marc, D. "Assessing Metadata Quality of a Federally Sponsored Health Data Repository", AMIA Annual Symposium, AMIA Annual Symposium, Chicago, Illinois. November 01, 2016.
Wang, Y., (Author & Presenter) "Term Coverage of Herb and Dietary Supplements in Product Labels", AMIA Annual Symposium, Chicago, Illinois. November 01, 2016.
Zhang, R. "Applying Active Learning to Semantic Predications in SemMedDB", Department of Surgery Graduation Day Poster Session. University of Minnesota, University of Minnesota, Minneapolis, Minnesota. June 14, 2016.
Zhang, R. "Health Informatics: when informatics and health big data meet", Computer Engineering and Systems, Texas A&M University, University of Minnesota, Texas. April 14, 2016.
Zhang, R. "Big Data to Knowledge (BD2K): mining literature to discover drug-supplement interactions", Surgical Ground Rounds,University of Minnesota, Minneapolis, Minnesota. March 01, 2016.
Chen, X. "Applying Active Learning to Semantic Predications in SemMedDB", IEEE International Conference on Biomedical and Health Informatics, Las Vegas, Nevada. February 01, 2016.
Zhang, R. "Applying Active Learning to Semantic Predications in SemMedDB", IEEE International Conference on Biomedical and Health Informatics., Las vegas, Nevada. February 01, 2016.
Zhang, R., (Author & Presenter) "Evaluating Term Coverage of Herbal and Dietary Supplements in Electronic Health Records.", Proceedings of the American Medical Informatics Association Symposium, San Francisco, California. November 01, 2015.
Manohar, N. "Evaluation of herbal and nutritional supplement resource term coverage", MEDINFO '15, West Side Community Health Services, São Paulo, Brazil. August 01, 2015.
Marc, D. "Indexing Publicly Available Health Data with Medical Subject Headings (MeSH): An Evaluation of Term Coverage", MEDINFO '15, São Paulo, Brazil. August 01, 2015.
Zhang, R. "Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements", American Medical Informatics Association Translational Bioinformatics Summit, University of Minnesota, San Francisco, California. March 24, 2015.
Zhang, R., (Author & Presenter) "Using Language Models to Identify Relevant New Information in Inpatient Clinical Notes", American Medical Informatics Association Annual Symposium , Washington DC. November 01, 2014.
Zhang, R. "Mining textual information in clinical notes and biomedical literature", Academic Health Center informatics grand round, University of Minnesota, Minneapolis, Minnesota. October 09, 2014.
Zhang, R. "Getting the Most out of the AMIA 2014 Annual Symposium: Participating in AMIA as a Student Attendee", American Medical Informatics Association Symposium webinar, University of Minnesota. October 02, 2014.
Zhang, R. "Leveraging natural language processing in health sciences", Department of Surgery Monthly Research Seminar,University of Minnesota, Minneapolis, Minnesota. September 18, 2014.
Zhang, R. "Preparing for scholarly presentations for AMIA Annual Symposium", American Medical Informatics Association Symposium webinar, University of Minnesota. August 26, 2014.
Zhang, R. "Introduction to Clinical Informatics", Department of Social and Public Health, Ohio University, University of Minnesota, Athen, Ohio. April 12, 2013.
Zhang, R. "Automatic methods to identify new information of patients from clinical texts", Doctoral Research Showcase, University of Minnesota, Minneapolis, Minnesota. April 09, 2013.
Zhang, R. "Natural Language Processing in Health Sciences", University of Minnesota, Briarcliff Mano, New York. April 08, 2013.
Zhang, R. "Natural Language Processing in Health Sciences", School of Information Studies, University of Wisconsin, University of Minnesota, Milwaukee, Wisconsin. March 08, 2013.
Zhang, R., (Author & Presenter) "Automated Assessment of Medical Training Evaluation Text.", American Medical Informatics Association Symposium, University of Minnesota, Chicago, Illinois. November 01, 2012.
Zhang, R. "Discovery of potential drug interactions from biomedical literatures", Seminar, Department of Experimental and Clinical Pharmacy, University of Minnesota, Minneaplois, Minnesota. September 01, 2012.
Zhang, R. "Evaluating measures of redundancy in clinical texts", Seminar, Institute for Health Informatics, University of Minnesota,, Minneapolis, Minnesota. September 01, 2012.
Zhang, R. "Using semantic predications to uncover drug-drug interactions in clinical notes", Seminar, National Library of Medicine, National Institutes of Health,, University of Minnesota, Bethesda, Maryland. August 22, 2012.
Zhang, R. "Automated identification of new useful information in clinical narrative", 2nd ACM SIGHIT (SIG on Health Informatics) International Health Informatics Symposium , Miami Beach, Florida. January 01, 2012.
Zhang, R., (Author & Presenter) " Evaluating measures of redundancy in clinical text", American Medical Informatics Association Symposium, University of Minnesota, Washington DC. October 01, 2011.
Professional Memberships
AMIA Education Committee
AMIA Membership/Outreach Committee
AMIA Student Working Group
American Medical Informatics Association