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Dissertations & Theses (Open Access)

Open Access full-text dissertations from McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI). 2003 - current.

A few older copies (2003-2008) are also available in print at The TMC Library. They're available via OneSearch under the subject heading: "Dissertations, Academic--University of Texas Health Science Center at Houston, School of Health Information Sciences" for a full list, or search for known individual dissertations using the main search box or the DigitalCommons@TMC search box in the white banner above.

Dissertations from 2025 2025

Standardizing Social Determinants of Health Factors from Heterogeneous Sources to Improve Data FAIRness, Yifang Dang

Computational Methods for Enhancing the Quality and Interoperability of Biomedical Terminologies, Xubing Hao

Leveraging and Advancing the Foundation Models for Clinical Trajectory Analysis Based on Electronic Health Record Data, Jianping He

Harnessing Knowledge and Data for Clinical Information Extraction in the Era of Large Language Models, Yan Hu

Advancing Genetic Association Discovery in Brain MRI using Unsupervised and Self-supervised Deep Learning: Exploring Learning Dynamics, Region-Specific Features, and Spatially Resolved Representations, Sheikh Muhammad Saiful Islam

Leveraging Observational and RCT Data for Understanding Interventions’ efficacy: Applications in Progressive and Acute Neurological Diseases, Yaobin Ling

Accelerating Drug Repurposing and Target Discovery using Deep Learning, Kohong Lin

Precision Drug Dosing and Disease Risk Prediction: Advanced Deep Learning Artificial Intelligence Approaches for Precision Medicine Using Structured Electronic Health Records Data, Bingyu Mao

Computer-Aided Integrated Rehabilitation for Post-Stroke Patients Using Deep Learning Techniques, Kaichen Tang

Dissertations from 2024 2024

Radiation-Induced Lymphopenia: Understanding, Predictive Modelling and Developing Photon and Proton-Based Mitigation Strategies, Yan Chu

Cardiovascular Biomarkers using Deep Learning and Retinal Imaging for the Assessment of Systemic Disease, Ivan Coronado

Multi-omic single-cell integration for understanding T cell responses in Acute Myeloid Leukemia, Poonam Desai

Designing Recommendation Systems for Identification and Reduction of Unnecessary Blood Tests, Tongtong Huang

Comprehensive Analysis of Adverse Events Following COVID-19 Vaccination: Insights from Diverse Data Sources, Yiming Li

Improving Distributed Health Information Technology Integration through Enriched Context in Sociotechnical System Components, Jeritt Thayer

Decoding Disease Mechanisms: Unraveling Large-Scale Biological Data for Novel Therapeutic Target Discovery, Yuntao Yang

An Informatics Framework for Representing, Detecting, and Measuring Citations of Biomedical Datasets, Xu Zuo

Dissertations from 2023 2023

Advancing Precision Medicine: Unveiling Disease Trajectories, Decoding Biomarkers, and Tailoring Individual Treatments, Yanfei Wang

Leveraging Digital Technologies for Management of Peripartum Depression to Mitigate Health Disparities, Alexandra Zingg

Dissertations from 2022 2022

Social Network Analysis of Online Support Communities for Adolescent and Young Adult Cancer Survivors, Carlos Perez Aldana

Identifying Risk Factors for Anchoring Bias during Emergency Department Transitions of Care, Roni Matin

Computer-Aided Diagnosis for Melanoma using Ontology and Deep Learning Approaches, Xinyuan Zhang

Dissertations from 2021 2021

Secondary use of Structured Electronic Health Records Data: From Observational Studies to Deep Learning-based Predictive Modeling, Laila Bekhet

Standardizing New Diagnostic Tests to Facilitate Rapid Responses to The Covid-19 Pandemic, Xiao Dong

Enhance Representation Learning of Clinical Narrative with Neural Networks for Clinical Predictive Modeling, Yuqi Si