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.
Submissions from 2025
Precision Phenotyping for Curating Research Cohorts of Patients With Unexplained Post-acute Sequelae of COVID-19, Alaleh Azhir, Jonas Hügel, Jiazi Tian, et al.
Evaluating the Meditation Practices and Barriers to Adopting Mindful Medicine Among Physicians, Tiffany Champagne-Langabeer, Chelsea G Ratcliff, Christine Bakos-Block, et al.
Classification of Schizophrenia, Bipolar Disorder and Major Depressive Disorder With Comorbid Traits and Deep Learning Algorithms, Xiangning Chen, Yimei Lu, Joan Manuel Cue, et al.
Dissecting the Shared Genetic Architecture Between Alzheimer’s Disease and Frailty: A Cross-Trait Meta-Analyses of Genome-Wide Association Studies, Xiangning Chen, Yimei Lu, Joan Manuel Cue, et al.
Identification and Catalog of Viral Transcriptional Regulators in Human Diseases, Citu Citu, Le Chang, Astrid M Manuel, et al.
MMRT: MultiMut Recursive Tree for Predicting Functional Effects of High-Order Protein Variants From Low-Order Variants, Bryce Forrest, Houssemeddine Derbel, Zhongming Zhao, et al.
Quantitatively Assessing the Impact of the Quality of SNOMED CT Subtype Hierarchy on Cohort Queries, Xubing Hao, Xiaojin Li, Yan Huang, et al.
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.
Leveraging Large Language Models for Knowledge-Free Weak Supervision in Clinical Natural Language Processing, Enshuo Hsu and Kirk Roberts
LLM-IE: A Python Package for Biomedical Generative Information Extraction With Large Language Models, Enshuo Hsu and Kirk Roberts
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.
Optimizing Electrode Configurations for EEG Mild Cognitive Impairment Detection, Yi Jiang, Xin Zhang, Zhiwei Guo, et al.
Deep5mC: Predicting 5-Methylcytosine (5mC) Methylation Status Using a Deep Learning Transformer Approach, Evan Kinnear, Houssemeddine Derbel, Zhongming Zhao, et al.
Intelligent Biology and Medicine: Accelerating Innovative Computational Approaches, Fuhai Li, Li Liu, Kai Wang, et al.
Novel Computational and Artificial Intelligence Models in Cancer Research, Li Liu, Fuhai Li, Xiaoming Liu, et al.
Scupa: Single-Cell Unified Polarization Assessment of Immune Cells Using the Single-Cell Foundation Model, Wendao Liu and Zhongming Zhao
Enhancing the Utility of Polygenic Scores in Alzheimer’s Disease Through Systematic Curation and Annotation, Savannah Mwesigwa, Yulin Dai, Nitesh Enduru, et al.
Quantitatively Assessing the Impact of the Quality of SNOMED CT Subtype Hierarchy on Cohort Queries, Savannah Mwesigwa, Yulin Dai, Nitesh Enduru, et al.
Student Expectations and Outcomes in Virtual vs In-Person Interprofessional Simulations: A Qualitative Analysis, Padmavathy Ramaswamy, Abbey M Bachmann, Tiffany Champagne-Langabeer, et al.
Depletion of Adipose Stroma-Like Cancer-Associated Fibroblasts Potentiates Pancreatic Cancer Immunotherapy, Joseph Rupert, Alexes Daquinag, Yongmei Yu, et al.
AI Model for Predicting Asthma Prognosis in Children, Elham Sagheb, Chung-Il Wi, Katherine S King, et al.
Toward Personalized Digital Experiences to Promote Diabetes Self-Management: Mixed Methods Social Computing Approach, Tavleen Singh, Kirk Roberts, Kayo Fujimoto, et al.
Examining Educational and Career Transition Points Among a Diverse, Virtual Mentoring Network, Erika L Thompson, Toufeeq Ahmed Syed, Zainab Latif, et al.
CRISPRoffT: Comprehensive Database of CRISPR/Cas Off-Targets, Grant Wang, Xiaona Liu, Aoqi Wang, et al.
Development and Characterization of CD44-Targeted X-Aptamers with Enhanced Binding Affinity for Cancer Therapeutics, Hongyu Wang, Weiguo He, Miguel-Angel Elizondo-Riojas, et al.