Researchers from UTA and UT Southwestern (UTSW) Medical Center are teaming up to develop a biopsy image analysis system that will help pinpoint care for lung cancer patients.
Junzhou Huang, associate professor of computer science and engineering, and UTSW’s Guanghua Xiao received a Cancer Prevention and Research Institute of Texas grant to use machine-learning algorithms and computational biology to refine lung cancer treatments.
Dr. Huang will develop algorithms for predicting clinical outcomes using automated pathological image analyses.
“These developed algorithms will integrate pathological images with molecular profiling data from patients for a comprehensive prediction model that will lead to tailored treatments for individuals,” Huang says. “Our ultimate goal is to customize patient treatment.”
Hong Jiang, chair of the Department of Computer Science and Engineering, believes Huang’s work is an integral part of UTA’s research portfolio.
“Lung cancer is a leading cause of death in the U.S. and the world,” he says. “Better prediction methods can lead to better patient care, more specific care.”
