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Forty percent of deaths attributed to cardiac arrest are not sudden or unexpected, and nearly half of the remainder are not arrhythmic – the only situation in which CPR and defibrillators are effective.
A UCSF researcher is among scientists who discovered the specific bacterial enzyme found in the human gut that can render a common heart drug ineffective.
UCSF Bioengineering PhD candidate Yiqi Cao took the second-place prize in the annual UC-wide Grad Slam contest.
PlaySafe program in the UCSF Department of Orthopaedic Surgery is providing its free annual spring sports cardiac physicals through the UCSF Sports Medicine Center for Young Athletes.
A new, large-scale study may help allay concerns of cardiovascular risk from the use of smoking cessation medications.
The 2018 Grad Slam competition challenged PhD students to use straightforward yet engaging language that non-specialists can understand to describe their intricate research – in three minutes or less.
The use of newer blood-thinners for patients at risk of stroke may lead to two fewer days in the hospital for those who experience complications, with the same survival rate as the older drug warfarin.
A type of AI known as advanced machine learning can classify essential views from heart ultrasound tests faster, more accurately and with less data than board-certified echocardiographers.
Irregular heart impulses that lead to stroke can be detected using a smartwatch with a specially designed application, a finding that could eventually lead to new ways to screen patients for earlier treatment.
Samsung Electronics Co., Ltd. and UCSF have announced the launch of My BP Lab, a jointly developed smartphone research app to help users monitor their blood pressure and stress levels.
Daily use of electronic cigarettes is associated with nearly a doubling of the odds of a heart attack.
Office visits offer doctors only a snapshot of chronic conditions. That’s where new mobile health-tracking technology can make a real difference, providing detailed and long-term health data for each patient.
