Li Ma Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Little Rock
faculty
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Biography and Research Information
OverviewAI-generated summary
Li Ma's research investigates the application of artificial intelligence in health-related data analysis, with recent work focusing on AI-powered topic modeling to analyze opioid-related cardiovascular risks in women. Ma's publications also span diverse biomedical areas, including the molecular mechanisms of sickle cell disease and its impact on T cells, the role of circRNAs in obesity and type 2 diabetes, and the development of targeted nanoparticle treatments for ovarian cancer. Other research interests include reinforcement strategies for sustainable materials, the correlation of cathepsin C with macrophage infiltration in non-small cell lung cancer, validation of psychological assessment scales, and the development of cyber ethics evaluation systems for clinical nurses.
Ma's scholarly output includes 16 publications with 64 citations and an h-index of 5. Key collaborators include researchers from the National Center for Toxicological Research, such as Paul Rogers, Wen Zou, and Weida Tong, as well as Ning Wu from the University of Arkansas at Little Rock, with whom Ma has co-authored publications.
Metrics
- h-index: 5
- Publications: 16
- Citations: 64
Selected Publications
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025) DOI
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