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Lyle Burdine Institution-verified

Sourced from institutional research profiles (UAMS TRI or ARA).

UAMS

Last refreshed 2026-03-16

faculty

18 h-index 79 pubs 1,036 cited

Research Areas

Links

ORCID Lab Website UAMS TRI Profile

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OverviewAI-generated summary

Lyle Burdine's research focuses on the application of computational methods to understand biological systems. His work involves developing and applying machine learning techniques, particularly neural networks, for tasks such as image analysis and data interpretation within the medical field. Burdine has explored the use of these computational tools in areas relevant to disease diagnosis and understanding biological processes.

Metrics

h-index: 18
Publications: 79
Citations: 1,036

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