Jonathon Loftin Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
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Biography and Research Information
OverviewAI-generated summary
Jonathon Loftin's research focuses on the application of machine learning and artificial intelligence to medical diagnosis, specifically in the area of cancer classification. His work involves developing models that can predict liver cancer and identify associated genes by analyzing high-dimensional data. Loftin has published on the use of explainable AI (XAI) to uncover these genetic associations, contributing to a deeper understanding of cancer mechanisms. His publications also extend to computational methods in finite element analysis, including exact subdomain and embedded interface polynomial integration with planar cuts. Loftin's research interests bridge computational science and health-related applications, with a h-index of 2 and 22 total citations across 5 publications.
Metrics
- h-index: 2
- Publications: 5
- Citations: 26
Selected Publications
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Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes (2023)
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Exact subdomain and embedded interface polynomial integration in finite elements with planar cuts (2023)
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Explainable-AI to Discover Associated Genes for Classifying Hepato-cellular Carcinoma from High-dimensional Data (2022)
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