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Donghan “Mo” Yang, Ph.D.

Donghan “Mo” Yang, Ph.D.

Director, Biostatistics and Data Science Core

Assistant Professor

School
School of Public Health
Department
Public Health
  • Biography

    I am an Assistant Professor of Data Science in the Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center and a Texas Health Resources (THR) Clinical Scholar. My research focuses on developing methods, platforms, and infrastructure for the integration and analysis of multimodal healthcare and biomedical data to address important clinical questions. I have extensive experience in working with real-world data including electronic health records, claims, medical notes, imaging, and molecular profiling data. Outcomes from my research include new clinical insights and applications, assessments of health and healthcare disparities, and data commons platforms for diverse disease domains.

  • Research Interest
    • Biomedical Imaging
    • Health Informatics
    • Integration and Analysis of Real-World Data
    • Large Language Models for Clinical Research and Care
  • Publications

    Star Featured Publications

    Featured
    A critical assessment of using ChatGPT for extracting structured data from clinical notes.
    Huang J, Yang DM, Rong R, Nezafati K, Treager C, Chi Z, Wang S, Cheng X, Guo Y, Klesse LJ, Xiao G, Peterson ED, Zhan X, Xie Y, NPJ Digit Med 2024 May 7 1 106
    Featured
    Osteosarcoma Explorer: A Data Commons With Clinical, Genomic, Protein, and Tissue Imaging Data for Osteosarcoma Research.
    Yang DM, Zhou Q, Furman-Cline L, Cheng X, Luo D, Lai H, Li Y, Jin KW, Yao B, Leavey PJ, Rakheja D, Lo T, Hall D, Barkauskas DA, Shulman DS, Janeway K, Khanna C, Gorlick R, Menzies C, Zhan X, Xiao G, Skapek SX, Xu L, Klesse LJ, Crompton BD, Xie Y, JCO Clin Cancer Inform 2023 Sep 7 e2300104
    Featured
    Association of Healthcare Access With Intensive Care Unit Utilization and Mortality in Patients of Hispanic Ethnicity Hospitalized With COVID-19.
    Velasco F, Yang DM, Zhang M, Nelson T, Sheffield T, Keller T, Wang Y, Walker C, Katterapalli C, Zimmerman K, Masica A, Lehmann CU, Xie Y, Hollingsworth JW, J Hosp Med 2021 11 16 11 659-666
    Featured
    Development of a Data Model and Data Commons for Germ Cell Tumors.
    Ci B, Yang DM, Krailo M, Xia C, Yao B, Luo D, Zhou Q, Xiao G, Xu L, Skapek SX, Murray MM, Amatruda JF, Klosterkemper L, Shaikh F, Faure-Conter C, Fresneau B, Volchenboum SL, Stoneham S, Lopes LF, Nicholson J, Frazier AL, Xie Y, JCO Clin Cancer Inform 2020 Jun 4 555-566
    Enhancing Medical Imaging Segmentation with GB-SAM: A Novel Approach to Tissue Segmentation Using Granular Box Prompts.
    Villanueva-Miranda I, Rong R, Quan P, Wen Z, Zhan X, Yang DM, Chi Z, Xie Y, Xiao G, Cancers (Basel) 2024 Jun 16 13
    A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization.
    Rong R, Sheng H, Jin KW, Wu F, Luo D, Wen Z, Tang C, Yang DM, Jia L, Amgad M, Cooper LAD, Xie Y, Zhan X, Wang S, Xiao G, Mod Pathol 2023 Aug 36 8 100196
    Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images.
    Wen Z, Lin YH, Wang S, Fujiwara N, Rong R, Jin KW, Yang DM, Yao B, Yang S, Wang T, Xie Y, Hoshida Y, Zhu H, Xiao G, Genes (Basel) 2023 Apr 14 4
    Deep learning in digital pathology for personalized treatment plans of cancer patients.
    Wen Z, Wang S, Yang DM, Xie Y, Chen M, Bishop J, Xiao G, Semin Diagn Pathol 2023 Mar 40 2 109-119
    Features of tumor-microenvironment images predict targeted therapy survival benefit in patients with EGFR-mutant lung cancer.
    Wang S, Rong R, Yang DM, Fujimoto J, Bishop JA, Yan S, Cai L, Behrens C, Berry LD, Wilhelm C, Aisner D, Sholl L, Johnson BE, Kwiatkowski DJ, Wistuba II, Bunn PA, Minna J, Xiao G, Kris MG, Xie Y, J Clin Invest 2023 Jan 133 2
    Enhanced Pathology Image Quality with Restore-Generative Adversarial Network.
    Rong R, Wang S, Zhang X, Wen Z, Cheng X, Jia L, Yang DM, Xie Y, Zhan X, Xiao G, Am J Pathol 2023 Jan
  • Honors & Awards
    • Texas Health Resources Clinical Scholar
      As a THR Clinical Scholar, Dr. Yang aims to utilize large language models to extract social determinants of health from medical notes and investigate the incremental value of these note-derived features in predicting heart failure readmission. (2023)