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The university is planning to open a first-of-its-kind laboratory that uses Artificial Intelligence, Computer Science, and Nursing to predict Atrial Fibrillation. The AI has begun to excite students and professors studying heart rhythms and developing software to help prevent and detect heart disease. Atrial Fibrillation or “AFIB” is a heart disease where the Upper two chambers of the heart beat at an irregular rhythm and disrupts the blood flow. Individuals with AFIB have an increased risk of stroke. A NIH grant funded this lab, where date analysts input data and nursing students translate it to helping the patient. For students, this is hands on training and hands on ability to solve problems.