… in the news …
Global's Su-Ling Goh talks to Professors Russ Greiner and Matt Brown about their research into using computers to analyze MRI brain scans to diagnose and treat mental illness (in collaboration with IBM).
Global News Clip (Video [ 1:30 ] - 14 October 2015)
Many diseases cause significant changes to the concentrations of small molecules (a.k.a. metabolites) that appear in a person’s biofluids, which means such diseases can often be readily detected from a person’s “metabolic profile"—i.e., the list of concentrations of those metabolites. This information can be extracted from a biofluid’s Nuclear Magnetic Resonance (NMR) spectrum. We present a system, BAYESIL, that can quickly, accurately, and autonomously produce a person’s metabolic profile.
International undergrads can join U of Alberta research groups for the summer, with funding provided by the Mitacs Globalink program. My lab had the honor of hosting two Mitacs Globalink Summer Students (July 2014).
This was covered by
The best treatment for a woman with breast cancer depends on whether her tumor is Estrogen Receptor positive or not (ER+ vs ER-). A team of researchers, from both Alberta Health Services and AICML, used a machine learning approach to produce a tool that can effectively predict this ER status of a patient, based on the expression values of just 3 genes. They show that this predictive tool is very robust, as it also works extremely well in multiple other studies, across different platforms.
The article itself is