Research & Scholarship
Research & Scholarship
Focus: Human - AI Interaction
Methods: Advanced Analytics, Machine Learning (ML), Natural Language Processing (NLP)
Abdullah, H. M., Ahmed, M., Chaudhry, H., Khan, D., Khalil, F., Wachira, D., & Bleeker, J. (2023). COVID-19 infection in patients on anti-CD20 monoclonal antibodies: Changes in clinical outcomes and management over time. Journal of Clinical Oncology, 41(16_suppl), e19542–e19542. https://doi.org/10.1200/JCO.2023.41.16_suppl.e19542
Khan, D., Chaudhry, H., Shehzad, D., Ahmed, M., Wachira, D., Awad, M. (2025). The prevalence, risk factors, and outcomes of Pneumomediastinum in mechanically ventilated COVID-19 ARDS patients in the Omicron predominant era- A nationwide inpatient analysis.
Wachira, D., Schroeder, M. (2025). Understanding the Thematic Clusters and Evolution of Research Interests at a University Library: An LDA Topic Modeling Approach
Wachira, D., Simonson, A. (2025). Virtual Reality in Academic Libraries to Support and Enhance Dynamic Teaching and Learning: A Case Study
Text Analysis: The use of topic modeling, to identify common themes and topics in cancer research articles, and lexical diversity, within the articles focused on the thyroid, lung, and colon cancer.
Case Study: Data Science in Academic Libraries to Support and Enhance Research
All of Us Dataset: Disparities in Treatment of SLE