To treat esophageal cancer, professor turns to mathematical models – News Center

Monday, Oct 24, 2022
• Linsey Retcofsky :

A mathematician at The University of Texas at Arlington is developing a data-driven mathematical framework to analyze the progression of esophageal cancer.

Individuals with esophageal cancer often receive a late diagnosis because the disease presents no early symptoms. With a low survival rate, esophageal cancer is one of the leading causes of cancer mortality in the United States.

To seek solutions, the National Science Foundation’s (NSF) Launching Early-Career Academic Pathways in the Mathematical and Physical Sciences (LEAPS-MPS) program awarded Souvik Roy, assistant professor of mathematics, a two-year, $215,000

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