About 20 UC Merced students spent the past two weeks working at Lawrence Livermore National Laboratory (LLNL) to see if they can solve a problem that could have a significant impact on cardiology.
The annual Data Science Challenge (DSC), a two-week, full-time internship at LLNL, this year teamed students from Merced and UC Riverside. They attempted to see if machine learning could address a gap in the information provided by the common electrocardiogram (ECG) test.