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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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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Nonclinical Profile of PF-06952229 (MDV6058), a Novel TGFβRI/Activin Like Kinase 5 Inhibitor Supports Clinical Evaluation in Cancer, Mausumee Guha, Stephane Thibault, Son Pham, 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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Identifying Missing IS-A Relations in SNOMED CT with Fine-Tuned Pre-trained Language Models and Non-lattice Subgraphs, Xubing Hao, Rashmie Abeysinghe, Jay Shi, 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.

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The ENACT Network Is Acting on Housing Instability and the Unhoused Using the Open Health Natural Language Processing Toolkit, Daniel R Harris, Sunyang Fu, Andrew Wen, et al.

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The Use of Large Language Models to Accelerate Literature Review Towards Digital Health Equity and Inclusiveness, Taylor B Harrison, Dian Hu, Sunyang Fu, et al.

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Adaptation of Chagas Disease Screening Recommendations for a Community of At-risk HIV in the United States, Jesica Hayon, Sofia Lupo, Cristina Poveda, et al.

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The Baseline Hemoglobin Level Is a Positive Biomarker for Immunotherapy Response and Can Improve the Predictability of Tumor Mutation Burden for Immunotherapy Response in Cancer, Yin He, Tong Ren, Chengfei Ji, et al.

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Engravings, Secrets, and Interpretability of Neural Networks, Nathaniel Hobbs, Periklis A Papakonstantinou, and Jaideep Vaidya

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User-Centered Data Display for Clinicians to Diagnose and Manage Hypertension, Carly Ho, Oluwatumininu Layinka, Valerie Chukelu, et al.

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Privacy-Preserving Model Evaluation for Logistic and Linear Regression Using Homomorphically Encrypted Genotype Data, Seungwan Hong, Yoolim A Choi, Daniel S Joo, et al.

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PFERM: A Fair Empirical Risk Minimization Approach with Prior Knowledge, Bojian Hou, Andrés Mondragón, Davoud Ataee Tarzanagh, et al.

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Hyperpolarized Magnetic Resonance Imaging, Nuclear Magnetic Resonance Metabolomics, and Artificial Intelligence to Interrogate the Metabolic Evolution of Glioblastoma, Kang Lin Hsieh, Qing Chen, Travis C Salzillo, et al.

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IMPA1-Derived Inositol Maintains Stemness in Castration-Resistant Prostate Cancer via IMPDH2 Activation, Che-Chia Hsu, Guihua Wang, Chien-Feng Li, et al.

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AgeAnnoMO: A Knowledgebase of Multi-Omics Annotation For Animal Aging, Kexin Huang, Xi Liu, Zhaocan Zhang, et al.

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An Interactive Information Visualization System for Temporal Queries in a Large-Scale COVID-19 Ehr Dataset (COVID-Sphere): Development and Qualitative Evaluation, Yan Huang, Shiqiang Tao, Wei-Chun Chou, et al.

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A Scoping Review of Fair Machine Learning Techniques When Using Real-World Data, Yu Huang, Jingchuan Guo, Wei-Han Chen, et al.

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Transcription Factor Bach1 In Cancer: Roles, Mechanisms, and Prospects For Targeted Therapy, Dian Hu, Zerui Zhang, Xiangyuan Luo, et al.

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An Automated Approach For Identifying Erroneous Is-A Relations In SNOMED CT, Ran Hu, Jay Shi, Licong Cui, et al.

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Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study, Xinyue Hu, Zenan Sun, Yi Nian, et al.