Du X, Zhou Z, Wang Y, Chuang YW, Li Y, Yang R, Hong P, Bates DW, Zhou L. Performance and Improvement Strategies for Adapting Generative Large Language Models for Electronic Health Record Applications: A Systematic Review. International Journal of Medical Informatics. 2026. PMID: 40885071
Du X, Dobrowolski A, Brochhausen M, Garrett TJ, Hogan WR, Lemas DJ. Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography-Mass Spectrometry Metabolomics Data Processing. Journal of the American Society of Mass Spectrometry. 2025. PMID: 39755959
Du X, Novoa-Laurentiev J, Plasek JM, Chuang YW, Wang L, Marshall GA, Mueller SK, Chang F, Datta S, Paek H, Lin B, Wei Q, Wang X, Wang J, Ding H, Manion F, Du J, Bates DW, Zhou L. Enhancing Early Detection of Cognitive Decline in The Elderly: A Comparative Study Utilizing Large Language Models in Clinical Notes. The Lancet Discovery Science - eBioMedicine (Cover Article). 2024. PMID: 39396423.
Lemas DJ, Du X, Rouhizadeh M, Lewis B, Frank S, Wright L, Spirache A, Gonzalez L, Cheves R, Magalhães M, Zapata R, Reddy R, Xu K, Parker L, Harle C, Young B, Louis-Jaques A, Zhang B, Thompson LA, Hogan WR, Modave F. Classifying early infant feeding status from clinical notes using natural language processing and machine learning. Scientific Reports (2024). PMID: 38570569.
Du X, Dastmalchi F, Diller MA, Brochhausen M, Hogan WR, Lemas DJ. An Automated Workflow Composition System for Liquid Chromatography-Mass Spectrometry Metabolomics Data Processing. Journal of American Society of Mass Spectrometry. 2023. PMID: 37874901
Lemas DJ, Du X, Dado-Senn B, Xu K, Dobrowolski A, Magalhães M, Aristizabal-Henao JJ, Young BE, Francois M, Thompson LA, Parker LA, Neu J, Laporta J; Misra BB, Wane I, Samaan S, Garrett TJ. Untargeted Metabolomic Analysis of Lactation-Stage-Matched Human and Bovine Milk Samples at 2 Weeks Postnatal. PMID: 37686800
Du X, Dastmalchi F, Ye H, Garrett TJ, Dillar MA, Liu M, Hogan WR, Brochhausen M, Lemas DJ. Evaluating LC-HRMS Metabolomics Data Processing Software using FAIR Principles for Research Software. Metabolomics (Cover Article) (2024 Metabolomics Publication Award: Best Review Winner). 2023. PMID: 36745241
Du X, Aristizabal-Henao JJ, Garrett TJ, Brochhausen M, Hogan WR, Lemas DJ. A checklist for reproducible computational analysis In clinical metabolomics research. Metabolites. 2022. PMID: 35050209
Lemas DJ, Wright L, Flood-Grady E, Francois M, Chen LY, Hentschel A, Du X, Hsiao CJ, Chen H, Neu J, Theis RP, Shenkman E, Krieger J. Perspectives of pregnant and breastfeeding women on longitudinal clinical studies that require non-invasive biospecimen collection – a qualitative study. BMC Pregnancy and Childbirth. 2021. PMID: 33472584
Hentschel A, Hsiao CJ, Chen LY, Wright L, Shaw J, Du X, Flood-Grady E, Harle CA, Reeder CF, Francois M, Louis-Jacques A, Shenkman E, Krieger J, Lemas DJ. (2021) Perspectives of pregnant and breastfeeding persons on participating in longitudinal mother-baby studies involving electronic health records: a qualitative study. JMIR Pediatrics and Parenting. 2021. PMID: 33666558
Lemas DJ, Loop LS, Duong M, Schleffer A, Collins C, Bowden JA, Du X, Patel K, Ciesielski AL, Ridge Z, Wagner J, Subedi B, Delcher C. Estimating drug consumption during a college sporting event from wastewater using liquid chromatography mass spectrometry. Science of The Total Environment. 2021. PMID: 33385644
Lure AC, Du X. Black EW, Irons R, Lemas DJ, Taylor JA, Lavilla O, de la Cruz D, Neu J. Using machine learning analysis to assist in differentiating between necrotizing enterocolitis and spontaneous intestinal perforation: a novel predictive analytics tool. Journal of Pediatric Surgery. 2020. PMID: 33342603
Du X, Min J, Shah CP, Boshnoi R, Hogan WR, Lemas DJ. Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models. International Journal of Medical Informatics. 2020. PMID: 32325370
Bian J, Zhao Y, Salloum RG, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz LJ, He Z, Sun Y. (2017) Using social media data to understand the impact of promotional information on laypeople’s discussions: a case study of lynch syndrome. Journal of Medical Internet Research. 2017. PMID: 29237586
Du C, Du X. (2016) Cache optimization by fully-replacement policy. American Journal of Embedded Systems and Applications. 2016.
Du X, Novoa-Laurentiev J, Plasek JM, Chuang YW, Wang L, Marshall GA, Mueller SK, Chang F, Datta S, Paek H, Lin B, Wei Q, Wang X, Wang J, Ding H, Manion F, Du J, Bates DW, Zhou L. Enhancing Early Detection of Cognitive Decline in The Elderly through Ensemble of NLP Techniques: A Comparative Study Utilizing Large Language Models in Clinical Notes. American Medical Informatics Association Annual Symposium, Nov 09-13, 2024. San Francisco, CA. (Oral)
Du X, Dastmalchi F, Diller MA, Brochhausen M, Garrett TJ, Hogan WR, Lemas DJ. An Automated Workflow Composition System for LC-MS Metabolomics Research. Annual Conference of American Society for Mass Spectrometry. Jun 04-08, 2023. Houston, TX. (Oral)
Du X, Cardel MI, Millar DR, Aristizabal-Henao JJ, Bowden JA, Lemas DJ. Untargeted Urinary Metabolomics Analysis for An Acceptance-Based Therapy Intervention for Diverse Adolescent Girls with Overweight/Obesity. ObesityWeek, Nov.1-5, 2021. Online.
Du, X.; Luran, M.; Xu, K.; Kirpich, A.; Hogan, W.R.; Garrett T.J.; Lemas, D.J. A reproducible pipeline for scalable untargeted metabolomics data analysis. Annual Meeting of Metabolomics Association of North America, Sep. 14-16, 2020.
Du, X.; Bian, J.; Prosperi, M. An operational deep learning pipeline for classifying life events from individual tweets. 5th International Conference on Information Management and Big Data, Sep. 03-05, 2018. (Oral)