Faculty, Staff and Student Publications

 

Open-access journal articles of faculty, students and staff from McWilliams School of Biomedical Informatics at UTHealth Houston. Some of the focus areas include Clinical and Cognitive Informatics, Biomedical Engineering, Public Health Informatics, and Translational Biomedical Informatics.

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Submissions from 2025

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Quantitatively Assessing the Impact of the Quality of SNOMED CT Subtype Hierarchy on Cohort Queries, Xubing Hao, Xiaojin Li, Yan Huang, et al.

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Representation Is Power: Traditional, Hybrid, and Digital Recruitment Results From a Non-randomized Clinical Trial Engaging Adolescents, Taylor B Harrison, Jessica A Sinclair, Lisa J Martin, et al.

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Federally Qualified Health Center Patients’ Experiences With Remote Patient Monitoring as Part of Telehealth Services for Self-Measured Blood Pressure Monitoring, Natalia I Heredia, Maria E Fernandez, Ella R Garza, et al.

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Dissemination and Implementation Approach to Increasing Access to Local Pre-Exposure Prophylaxis (PrEP) Resources With Black Cisgender Women: Intervention Study With Vlogs Shared on Social Media, Mandy J Hill, Laurenia Mangum, Sandra J Coker, et al.

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The Geographic Identification of Elevated Suicide Risk Model: Evaluating a Method for Examining Suicide-Related Behaviors at the Neighborhood Level in Harris County, Texas, Ryan M Hill, Sam C Cacace, Austin Starkey, et al.

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Distinct Clinicogenomic Features and Immunotherapy Associations in Pulmonary Sarcomatoid Carcinoma: A Multicenter Retrospective Study, Lingzhi Hong, Alessandro Di Federico, Bolun Liu, et al.

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iGTP: Learning Interpretable Cellular Embedding for Inferring Biological Mechanisms Underlying Single-Cell Transcriptomics, Kang-Lin Hsieh, Kai Zhang, Yan Chu, et al.

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Leveraging Large Language Models for Knowledge-Free Weak Supervision in Clinical Natural Language Processing, Enshuo Hsu and Kirk Roberts

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LLM-IE: A Python Package for Biomedical Generative Information Extraction With Large Language Models, Enshuo Hsu and Kirk Roberts

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Image-Based Mandibular and Maxillary Parcellation and Annotation Using Computed Tomography (IMPACT): A Deep Learning-Based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment, Laia Humbert-Vidan, Austin H Castelo, Renjie He, et al.

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Single-Cell Multiome Characterizing Intercellular Communication and Intracellular Regulation of Epithelium and Mesenchymal During Secondary Palate Development in Mice, Usama Hussein, Yulin Dai, Andi Liu, et al.

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Exploring Factors Affecting the Adoption and Use of Digital Health Technologies Among Older Adults With Cancer: A Qualitative Study, Misun Hwang, Youmin Cho, Katie Gahn, et al.

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Investigating Prognostic Features in High-Grade Serous Ovarian Cancer Through Gene Regulatory Network Inference With Single-Cell Transcriptomic Profiles, Toshiyuki Itai, Yulin Dai, Wendao Liu, et al.

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Regulation of Artificial Intelligence in Healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a Model, Brian R Jackson, Mark P Sendak, Anthony Solomonides, et al.

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Development and Validation of Venous Thromboembolism-Bidirectional Encoder Representations From Transformers (Vte-Bert) Natural Language Processing Model, Omid Jafari, Shengling Ma, Barbara D Lam, et al.

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Impact of Sociodemographic Determinants on Enrollment Into Contemporary Lymphoma Clinical Trials: A Systematic Review, Jun Yang Jiang, Ang Li, Alexis Romero, et al.

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Exploration of Working Memory Retrieval Stage for Mild Cognitive Impairment: Time-Varying Causality Analysis of Electroencephalogram Based on Dynamic Brain Networks, Yi Jiang, Zhiwei Guo, Xiaobo Zhou, et al.

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Optimizing Electrode Configurations for EEG Mild Cognitive Impairment Detection, Yi Jiang, Xin Zhang, Zhiwei Guo, et al.

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Vaccination Schedules Recommended by the Centers for Disease Control and Prevention: From Human-Readable to Machine-Processable, Xia Jing, Hua Min, Yang Gong, et al.

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Artificial Intelligence Biomarker Detects High-Risk Childhood Asthma Subgroup for Respiratory Infections and Exacerbations, Young J Juhn, Chung-Il Wi, Euijung Ryu, et al.

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A Bayesian Deep Segmentation Framework for Glioblastoma Tumor Segmentation Using Follow-Up MRIs, Tanjida Kabir, Kang-Lin Hsieh, Luis Nunez, et al.

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Auricular Point Acupressure for Older Adults With Chronic Low Back Pain: A Randomized Controlled Trial, Jennifer Kawi, Chao Hsing Yeh, Nada Lukkahatai, et al.

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Social Determinants of Health Extraction From Clinical Notes Across Institutions Using Large Language Models, Vipina K Keloth, Salih Selek, Qingyu Chen, et al.

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Deep5mC: Predicting 5-Methylcytosine (5mC) Methylation Status Using a Deep Learning Transformer Approach, Evan Kinnear, Houssemeddine Derbel, Zhongming Zhao, et al.

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Session Introduction: Translating Big Data Imaging Genomics Findings to the Individual: Prediction of Risks and Outcomes in Neuropsychiatric Illnesses, Peter Kochunov, Li Shen, Zhongming Zhao, et al.