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 2024
Influence of Polypyrrole On Phosphorus- and Tio2-Based Anode Nanomaterials For Li-Ion Batteries, Chiwon Kang, Kibum Song, Seungho Ha, et al.
Inpatient Costs of Treating Patients With COVID-19, Kandice A Kapinos, Richard M Peters, Robert E Murphy, et al.
Implementation of a Health Information Technology Safety Classification System in the Veterans Health Administration’s Informatics Patient Safety Office, Danielle Kato, Joe Lucas, and Dean F Sittig
Digital Twins for Health: A Scoping Review, Evangelia Katsoulakis, Qi Wang, Huanmei Wu, et al.
Retention, Adherence, and Acceptability Testing of a Digital Health Intervention in a 3-Group Randomized Controlled Trial for Chronic Musculoskeletal Pain, Jennifer Kawi, Chao Hsing Yeh, Lauren Grant, et al.
Adapting and Evaluating A Theory-Driven, Non-Pharmacological Intervention To Self-Manage Pain, Jennifer Kawi, Chao Hsing Yeh, Lauren Grant, et al.
Rosarugosides A and D From Osa Rugosa Flower Buds: Their Potential Anti-Skin-Aging Effects InTNF-α-Induced Human Dermal Fibroblasts, Kang Sub Kim, So-Ri Son, Yea Jung Choi, et al.
Alterations In Brain Morphometric Networks and Their Relationship With Memory Dysfunction In Patients With Type 2 Diabetes Mellitus, Rye Young Kim, Yoonji Joo, Eunji Ha, et al.
The Impact of Family Functioning Factors On Smartphone Addiction and Phubbing Among Muslim Adolescents In Thailand, Yejin Kim, Wanchai Dhammasaccakarn, Kasetchai Laeheem, et al.
Systematically Assessing the Quality of Dental Electronic Health Record Data for an Investigation Into Oral Health Care Disparities, Krishna Kumar Kookal, Muhammad F Walji, Ryan Brandon, et al.
Artificial Intelligence In Fusion Protein Three-Dimensional Structure Prediction: Review and Perspective, Himansu Kumar and Pora Kim
FusionNeoAntigen: : A Resource of Fusion Gene-Specific Neoantigens, Himansu Kumar, Ruihan Luo, Jianguo Wen, et al.
FusionPDB:: A Knowledgebase of Human Fusion Proteins, Himansu Kumar, Lin-Ya Tang, Chengyuan Yang, et al.
Toward a Responsible Future: Recommendations for AI-Enabled Clinical Decision Support, Steven Labkoff, Bilikis Oladimeji, Joseph Kannry, et al.
Strategies To Combine 3D Vasculature and Brain CTA With Deep Neural Networks: Application To LVO, Uma M Lal-Trehan Estrada, Arnau Oliver, Sunil A Sheth, et al.
How Financial Beliefs and Behaviors Influence The Financial Health of Individuals Struggling With Opioid Use Disorder, James R Langabeer, Francine R Vega, Marylou Cardenas-Turanzas, et al.
CRISPR-Cas9 Base Editing of Pathogenic CaMKIIδ Improves Cardiac Function in a Humanized Mouse Model, Simon Lebek, Xurde M Caravia, Leon G Straub, et al.
Increased Incidence of Vestibular Disorders In Patients With SARS-CoV-2, Lawrance Lee, Evan French, Daniel H Coelho, et al.
Statins Are Rarely Prescribed for Incidentally Discovered Covert Cerebrovascular Disease: A Retrospective Cohort in a Large Electronic Health Record (EHR) Identified Using Natural Language Processing, Lester Y Leung, Eric Puttock, David F Kallmes, et al.
Federated Multiple Imputation for Variables that Are Missing Not At Random in Distributed Electronic Health Records, Yi Lian, Xiaoqian Jiang, and Qi Long
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-liver Transplant Risk Factors, Can Li, Xiaoqian Jiang, and Kai Zhang
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation, Can Li, Dejian Lai, Xiaoqian Jiang, et al.
Dynamic Prognosis Prediction For Patients On Dapt After Drug-Eluting Stent Implantation: Model Development and Validation, Fang Li, Laila Rasmy, Yang Xiang, et al.
Contrastive Learning With Transformer for Adverse Endpoint Prediction in Patients on DAPT Post-Coronary Stent Implantation, Fang Li, Zenan Sun, Ahmed Abdelhameed, et al.
MetaRNN: Differentiating Rare Pathogenic and Rare Benign Missense SNVs and InDels Using Deep Learning, Fang Li, Zenan Sun, Ahmed Abdelhameed, et al.