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Structural heart disease describes any abnormality within the chambers and/or valves of the heart. While these conditions are often congenital, or present at birth, some people develop the disease later in life because of wear and tear on the heart, infections, aging, or other underlying conditions. 

Through collaboration with USF Health, TGH is working with pioneers investigating machine learning models to study the acoustic features of voice and detect cues that can predict conditions such as throat cancers, neurological disorders and even depression.

A signal-averaged ECG is a specialized type of electrocardiogram used to evaluate irregular heartbeats.