Communications of the ACM
Researcher to Use Machine Learning to Improve Cancer Treatments
Tin Nguyen's work could identify biomarkers that can be used in diagnosis, risk prediction, and monitoring treatment.
Credit: University of Nevada, Reno
University of Nevada, Reno Assistant Professor Tin Nguyen has received a $490,039 U.S. National Science Foundation CAREER award to develop new machine learning techniques that can crunch molecular and biological data to determine how an individual's cancer might progress. The five-year project begins this July and is expected to conclude in 2027.
"This work will potentially enhance our ability to distinguish among patients who are in immediate danger and need the most aggressive treatments and those whose disease will progress more slowly," Nguyen says.
The team will develop machine learning techniques to predict survival risks of patients and to identify the significant signaling pathways that underly a person's condition, Nguyen says. Identifying the signaling pathways will help medical professionals personalize treatment plans.
From University of Nevada, Reno
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