Faculty, Staff and Student Publications
Open-access journal articles of faculty, students and staff from McWilliams School of Biomedical Informatics at UTHealth Houston Faculty. School focus areas include Clinical and Cognitive Informatics, Biomedical Engineering, Public Health Informatics, and Translational Biomedical Informatics.
Submissions from 2024
Comprehensive Analysis of Bulk and Single-Cell Transcriptomic Data Reveals a Novel Signature Associated With Endoplasmic Reticulum Stress, Lipid Metabolism, and Liver Metastasis in Pancreatic Cancer, Xiaohong Liu, Bo Ren, Yuan Fang, et al.
The Significant Role of Amino Acid Metabolic Reprogramming in Cancer, Xiaohong Liu, Bo Ren, Jie Ren, et al.
DRMref: Comprehensive Reference Map of Drug Resistance Mechanisms in Human Cancer, Xiaona Liu, Jiahao Yi, Tina Li, et al.
Prevalence and Relevant Factors of Nocturia and Its Impact on Sleep Quality in Chinese University Students, Yakai Liu, Zhenwei Zhang, Huijie Hu, et al.
Fedgmmat: Federated Generalized Linear Mixed Model Association Tests, Wentao Li, Han Chen, Xiaoqian Jiang, et al.
Safety, Immunogenicity, and Mechanism of a Rotavirus mRNA-LNP Vaccine in Mice, Chenxing Lu, Yan Li, Rong Chen, et al.
Development and Validation of a Nomogram for Predicting Pulmonary Infection in Patients Receiving Immunosuppressive Drugs, Chuxuan Luo, Yue Zhang, Jiajie Zhang, et al.
Dynamic Hydrogel-Metal-Organic Framework System Promotes Bone Regeneration in Periodontitis Through Controlled Drug Delivery, Qipei Luo, Yuxin Yang, Chingchun Ho, et al.
Stemdriver: a Knowledgebase of Gene Functions for Hematopoietic Stem Cell Fate Determination, Yangyang Luo, Jingjing Guo, Jianguo Wen, et al.
Multiple Control of Azoquinoline Based Molecular Photoswitches, Youming Lv, Hebo Ye, and Lei You
Montelukast as a Repurposable Additive Drug for Standard-Efficacy Multiple Sclerosis Treatment: Emulating Clinical Trials With Retrospective Administrative Health Claims Data, Astrid M Manuel, Assaf Gottlieb, Leorah Freeman, et al.
Identification of Novel F2-Isoprostane Metabolites by Specific UDP-Glucuronosyltransferases, Ginger L Milne, Marina S Nogueira, Benlian Gao, et al.
Advances in the Integration of Microalgal Communities for Biomonitoring of Metal Pollution in Aquatic Ecosystems of Sub-Saharan Africa, Mary Mulenga, Concillia Monde, Todd Johnson, et al.
Improvements in Appropriate Placement of Dental Sealants After Implementation of a Clinical Decision Support System, Joanna Mullins, Ryan Brandon, Nicholas Skourtes, et al.
Digital Health Technologies for High-Risk Pregnancy Management: Three Case Studies Using Digilego Framework, Sahiti Myneni, Alexandra Zingg, Tavleen Singh, et al.
Discovery of Runs-Of-Homozygosity Diplotype Clusters and Their Associations With Diseases in UK Biobank, Ardalan Naseri, Degui Zhi, and Shaojie Zhang
Deep Learning Model for Personalized Prediction of Positive MRSA Culture Using Time-Series Electronic Health Records, Masayuki Nigo, Laila Rasmy, Bingyu Mao, et al.
Linking Cancer Clinical Trials to their Result Publications, Evan Pan and Kirk Roberts
Unsupervised Deep Representation Learning Enables Phenotype Discovery For Genetic association Studies of Brain Imaging, Khush Patel, Ziqian Xie, Hao Yuan, et al.
Radiogenomics-Based Risk Prediction of Glioblastoma Multiforme with Clinical Relevance, Xiaohua Qian, Hua Tan, Xiaona Liu, et al.
Effect of Esketamine on Hypotension in Women With Preoperative Anxiety Undergoing Elective Cesarean Section: A Randomized, Double-Blind, Controlled Trial, Yu Qi, Meiyan Zhou, Yaqi Dong, et al.
Effect of S-Ketamine on Postoperative Nausea and Vomiting in Patients Undergoing Video-Assisted Thoracic Surgery: A Randomized Controlled Trial, Yu Qi, Meiyan Zhou, Wenting Zheng, et al.
Epigenome-Wide Association Study of Lung Cancer Among Never Smokers in Two Prospective Cohorts in Shanghai, China, Mohammad L Rahman, Charles E Breeze, Xiao-Ou Shu, et al.
Linking Artificial Sweetener Intake With Kidney Function: Insights From Nhanes 2003-2006 and Findings From Mendelian Randomization Research, Zhuoling Ran, Yuxuan Zheng, Lin Yu, et al.
Automatic Uncovering of Patient Primary Concerns in Portal Messages Using a Fusion Framework of Pretrained Language models.automatic Uncovering of Patient Primary Concerns in Portal Messages Using a Fusion Framework of Pretrained Language Models, Yang Ren, Yuqi Wu, Jungwei W Fan, et al.