The study from Computer Science and Software Engineering Associate Professor Tin Nguyen, “Personalization of graphical models using multi-omics data for subtype discovery and prognosis,” earned a three-year, $1.2 million grant from the National Institute of Health to find an ideal means of diagnosing cancer subtypes by means of data analysis — crunching years’ worth of laboratory discoveries and experiments and apply those to patients’ personalized pathway profiles.
Professor in computer science and software engineering uses data science, machine learning to combat cancer subtype misdiagnoses
Associate Professor Tin Nguyen is set to begin NIH NCI-funded research that could combat cancer subtype misdiagnoses.
