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 2025

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Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients, Mohamed Qayati, Sherif M Ismail, Sheeba J Sujit, et al.

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Federated Target Trial Emulation Using Distributed Observational Data for Treatment Effect Estimation, Suraj Rajendran, Yong Chen, and Fei Wang

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Advancing Delirium Detection Through the Open Health Natural Language Processing Consortium and the Evolve to Next-Gen Accrual to Clinical Trials Network, Shreyas Ranganath, Joseph R Applegate, Andrew Wen, et al.

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VaxBot-HPV: A GPT-Based Chatbot for Answering HPV Vaccine-Related Questions, Danniel Rhee, Lara S Savas, Licong Cui, et al.

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A Comparative Study of Recent Large Language Models on Generating Hospital Discharge Summaries for Lung Cancer Patients, Kirk Roberts, Licong Cui, Cui Tao, et al.

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A Bayesian Deep Segmentation Framework for Glioblastoma Tumor Segmentation Using Follow-Up MRIs, Juan C Rodriguez Quintero, Octavio Arevalo, Kangyi Zhao, et al.

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Senescence Caused by Telomerase Inactivation in Myeloid, Mesenchymal, and Endothelial Cells Has Distinct Effects on Cancer Progression, Joseph Rupert, Zhanguo Gao, Yongmei Yu, et al.

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AI Model for Predicting Asthma Prognosis in Children, Euijung Ryu, Hongfang Liu, Miguel A Park, et al.

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Initial Crisis Leadership During COVID-19 Higher Education: A Systematic Review, Sabu K.M.

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Dissemination and Implementation Approach to Increasing Access to Local Pre-Exposure Prophylaxis (PrEP) Resources With Black Cisgender Women: Intervention Study With Vlogs Shared on Social Media, Diane M Santa Maria

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Predicting Chemotherapy Responsiveness in Gastric Cancer Through Machine Learning Analysis of Genome, Immune, and Neutrophil Signatures, Shota Sasagawa, Yoshitaka Honma, Xinxin Peng, et al.

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Screening Young Adult Cancer Patients for Vocational Rehabilitation Services: A Vocational Rehabilitation Readiness Screening Tool, Melissa Scardaville, Sha-Ron Conley, David Farris, et al.

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AllergenAI: A Deep Learning Model Predicting Allergenicity Based on Protein Sequence, Catherine H Schein, Werner Braun, and Pora Kim

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Automatic Genetic Phenotype Normalization From Dysmorphology Physical Examinations: An Overview of the BioCreative VIII-Task 3 Competition, Sarah F Schmidt, Karen O'Connor, Ekin Soysal, et al.

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Generalizable Self-Supervised Learning for Brain CTA in Acute Stroke, Sunil A Sheth and Luca Giancardo

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Regulation of Artificial Intelligence in Healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a Model, Dean F Sittig

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Artificial Intelligence Biomarker Detects High-Risk Childhood Asthma Subgroup for Respiratory Infections and Exacerbations, Sunghwan Sohn, Elham Sagheb, Greg Jenkins, et al.

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MET Overexpression Is Associated with Superior Immunotherapy Benefit in Advanced Non-Small Cell Lung Cancer, Luisa M Solis Soto, Waree Rinsurongkawong, Bingnan Zhang, et al.

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Factors Associated With Medication Adherence Among Patients With Attention-Deficit/Hyperactivity Disorder (ADHD), Cesar A Soutullo

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Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-modal Learning, Lichao Sun and Yonghui Wu

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A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules, Weijie J Su

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Robust Detection of Watermarks for Large Language Models Under Human Edits, Weijie J Su

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On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection, Weijie Su and Qi Long

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Gated Recurrent Unit With Decay Has Real-Time Capability for Postoperative Ileus Surveillance and Offers Cross-Hospital Transferability, Cornelius A Thiels, Schaeferle M Gavin, Patrick M Wilson, et al.

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A Hedgehog-Foxf Axis Coordinates Dental Follicle-Derived Alveolar Bone Formation, Chiaki Tsutsumi-Arai, Angel Ka Yan Chu, Seth N Nye, et al.