Jonathon Loftin Source Confirmed

OverviewAI-generated summary

Jonathon Loftin's research investigates the application of machine learning and explainable artificial intelligence (AI) to identify genetic markers associated with liver cancer. His work focuses on developing classification models that can predict the likelihood of liver cancer and utilizing AI to discover the genes most relevant to these classifications. This approach aims to enhance diagnostic capabilities and understanding of the molecular underpinnings of hepatocellular carcinoma from high-dimensional datasets.

In addition to his work in computational biology and health sciences, Loftin's research also extends to computational mathematics. He has published work on exact subdomain and embedded interface polynomial integration within finite element methods, specifically addressing planar cuts. This area of his research contributes to the development and refinement of numerical techniques used in various engineering and scientific simulations.

Metrics

• h-index: 2
• Publications: 5
• Citations: 20