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 2023
Single-Cell DNA Methylome and 3D Multi-Omic Atlas of The Adult Mouse Brain, Hanqing Liu, Qiurui Zeng, Jingtian Zhou, et al.
An Open Natural Language Processing (NLP) Framework For Ehr-Based Clinical Research: A Case Demonstration Using The National Covid Cohort Collaborative (N3C), Sijia Liu, Andrew Wen, Liwei Wang, et al.
Discovery of Novel 2-Aminopyridine Derivatives As Ros1 and Alk Dual Inhibitors To Combat Drug-Resistant Mutants Including Ros1G2032R and Alkg1202R, Siming Liu, Chuan Huang, Chunhui Huang, et al.
The Health-Promoting Effects and The Mechanism of Intermittent Fasting, Simin Liu, Min Zeng, Weixi Wan, et al.
Using Ai-Generated Suggestions From ChatGPT To Optimize Clinical Decision Support, Siru Liu, Aileen P Wright, Barron L Patterson, et al.
Braf D594A Mutation Defines A Unique Biological and Immuno-Modulatory Subgroup Associated With Functional CD8+ T Cell Infiltration In Colorectal Cancer, Wenjing Li, Chenyi Zhao, Wenhui Li, et al.
Federated Generalized Linear Mixed Models for Collaborative Genome-Wide Association Studies, Wentao Li, Han Chen, Xiaoqian Jiang, et al.
Federated Generalized Linear Mixed Models For Collaborative Genome-Wide Association Studies, Wentao Li, Han Chen, Xiaoqian Jiang, et al.
COLLAGENE Enables Privacy-Aware Federated and Collaborative Genomic Data Analysis, Wentao Li, Miran Kim, Kai Zhang, et al.
A Query Engine For Self-Controlled Case Series, With An Application To Covid-19 EHR Data, Xiaojin Li, Yan Huang, Licong Cui, et al.
Prediction of Brain Metastases Development In Patients With Lung Cancer By Explainable Artificial Intelligence From Electronic Health Records, Zhao Li, Rongbin Li, Yujia Zhou, et al.
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics, Zhuohang Li, Chao Yan, Xinmeng Zhang, et al.
Real-Time Prediction of Organ Failures in Patients With Acute Pancreatitis Using Longitudinal Irregular Data, Jiawei Luo, Lan Lan, Shixin Huang, et al.
A Novel Integrated Approach To Predicting Cancer Immunotherapy Efficacy, Ruihan Luo, Jacqueline Chyr, Jianguo Wen, et al.
Survey of West Nile and Banzi Viruses In Mosquitoes, South Africa, 2011-2018, Caitlin MacIntyre, Milehna Mara Guarido, Megan Amy Riddin, et al.
CVAM: CNA Profile Inference of the Spatial Transcriptome Based on the VGAE and HMM, Jian Ma, Jingjing Guo, Zhiwei Fan, et al.
A Multicenter Study of Clinical Impact of Variant of Uncertain Significance Reclassification in Breast, Ovarian and Colorectal Cancer Susceptibility Genes, Sukh Makhnoon, Brooke Levin, Megan Ensinger, et al.
3PNMF-MKL: A Non-negative Matrix Factorization-Based Multiple Kernel Learning Method for Multi-modal Data Integration and Its Application to Gene Signature Detection\, Saurav Mallik, Anasua Sarkar, Sagnik Nath, et al.
Optimal Ranking and Directional Signature Classification Using the Integral Strategy of Multi-objective Optimization-Based Association Rule Mining of Multi-omics Data, Saurav Mallik, Soumita Seth, Amalendu Si, et al.
A Gene Regulatory Network Approach Harmonizes Genetic and Epigenetic Signals and Reveals Repurposable Drug Candidates for Multiple Sclerosis, Astrid M Manuel, Yulin Dai, Peilin Jia, et al.
LVPT: Lazy Velocity Pseudotime Inference Method, Shuainan Mao, Jiajia Liu, Weiling Zhao, et al.
Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times: A Cluster Randomized Clinical Trial, Juan Carlos Martinez-Gutierrez, Youngran Kim, Sergio Salazar-Marioni, et al.
Contextual Variation of Clinical Notes Induced By EHR Migration, Kurt Miller, Sungrim Moon, Sunyang Fu, et al.
Developing Electronic Clinical Quality Measures To Assess The Cancer Diagnostic Process, Daniel R Murphy, Andrew J Zimolzak, Divvy K Upadhyay, et al.
Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science, Sahiti Myneni, Paula Cuccaro, Sarah Montgomery, et al.