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 2024

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Tissue-Specific Atlas of Trans-Models For Gene Regulation Elucidates Complex Regulation Patterns, Robert Dagostino and Assaf Gottlieb

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Disentangling Accelerated Cognitive Decline from the Normal Aging Process and Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach, Yulin Dai, Yu-Chun Hsu, Brisa S Fernandes, et al.

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Deepface: Deep-Learning-Based Framework To Contextualize Orofacial-Cleft-Related Variants During Human Embryonic Craniofacial Development, Yulin Dai, Toshiyuki Itai, Guangsheng Pei, et al.

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Dynamic Dysregulation of Retrotransposons in Neurodegenerative Diseases at the Single-Cell Level\, Wankun Deng, Citu Citu, Andi Liu, et al.

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A Self-Supervised Learning Approach For Registration Agnostic Imaging Models With 3D Brain CTA, Yingjun Dong, Samiksha Pachade, Xiaomin Liang, et al.

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Dissecting the Shared Genetic Architecture Between Alzheimer’s Disease and Frailty: A Cross-Trait Meta-Analyses of Genome-Wide Association Studies, Nitesh Enduru, Brisa S Fernandes, and Zhongming Zhao

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Considerations For Quality Control Monitoring of Machine Learning Models In Clinical Practice, Louis Faust, Patrick Wilson, Shusaku Asai, et al.

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COV2Var, A Function Annotation Database of SARS-CoV-2 Genetic Variation, Yuzhou Feng, Jiahao Yi, Lin Yang, et al.

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Sex Differences in Metabolic Adaptation in Infants With Cyanotic Congenital Heart Disease, Tina O Findley, Ana Carolina Palei, Kyung Serk Cho, et al.

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Risk Factors For Pediatric Ischemic Stroke and Intracranial Hemorrhage: A National Electronic Health Record Based Study, Stuart Fraser, Samantha M Levy, Amee Moreno, et al.

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FedFSA: Hybrid and Federated Framework for Functional Status Ascertainment Across Institutions, Sunyang Fu, Heling Jia, Maria Vassilaki, et al.

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A Taxonomy for Advancing Systematic Error Analysis in Multi-Site Electronic Health Record-Based Clinical Concept Extraction, Sunyang Fu, Liwei Wang, Huan He, et al.

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Patients' Perceptions of Using Technology for Self-Reporting Cancer Medication Safety Events from Home, Katie Gahn, Misun Hwang, Youmin Cho, et al.

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Improved Liver Disease Prediction From Clinical Data Through an Evaluation of Ensemble Learning Approaches, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, and Zhongming Zhao

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Rbpms Regulates Cardiomyocyte Contraction and Cardiac Function Through RNA Alternative Splicing, Peiheng Gan, Zhaoning Wang, Svetlana Bezprozvannaya, et al.

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Qiditangshen Granules Alleviates Diabetic Nephropathy Podocyte Injury: A Network Pharmacology Study and Experimental Validation In Vivo and Vitro, Fei Gao, Ying Zhou, Borui Yu, et al.

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Characterizing the Progression From Mild Cognitive Impairment to Dementia: A Network Analysis of Longitudinal Clinical Visits, Muskan Garg, Sara Hejazi, Sunyang Fu, et al.

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Learning from Non-Routine Events and Teamwork in Intensive Care Units: Challenges and Opportunities, Yang Gong and You Chen

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Challenges and Opportunities of Artificial Intelligence in CDSS and Patient Safety, Yang Gong, Hua Min, Xia Jing, et al.

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Expanded T Lymphocytes In The Cerebrospinal Fluid of Multiple Sclerosis Patients Are Specific For Epstein-Barr-Virus-Infected B Cells, Assaf Gottlieb, H Phuong T Pham, Jerome G Saltarrelli, et al.

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Epigenetic Regulation In Cancer, Minzhi Gu, Bo Ren, Yuan Fang, et al.

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Impact of COVID-19 Lockdown on Patient-Provider Electronic Communications, Michael A Hansen, Rebecca Chen, Jacqueline Hirth, et al.

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Mapping of Alzheimer’s Disease Related Data Elements and the NIH Common Data Elements, Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, et al.

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Analyzing Llama 3-based Approach for Axiom Translation from Ontologies, Xubing Hao, Licong Cui, Cui Tao, et al.

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Descriptor:Benchmarking Secure Neural Network Evaluation Methods for Protein Sequence Classification (iDASH24), Arif Harmanci, Luyao Chen, Miran Kim, et al.