Contrary to popular belief, drinking 1 to 2 alcoholic drinks a day may not help protect against stroke. Researchers report blood pressure and stroke risk increase with alcohol consumption.
Owning a dog was associated with a 33% lower risk of death for heart attack survivors who lived alone, and a 27% reduced risk for those who suffered a stroke, compared to those who did not own a pet. Additionally, dog ownership was linked to a 24% reduced risk of all-cause mortality and a 31% reduced risk of death by heart attack or stroke.
A new study reports people with a non-O blood group have higher risk of heart attack.
According to a new study, poor kidney function is linked to stroke and dementia as a result of decreased blood flow to the brain.
Transgender men have a four times higher risk of heart attack than cisgender women, and twice the rate of heart attack than cisgender males. For transgender women, the risk of heart attack is twice the risk as in cisgender women. However, there is no significant difference in risk between transgender women and cisgender males.
Bereavement is associated with an increased risk of cardiovascular disease and heart attack. However, a low daily dose of a beta-blocker combined with aspirin can help to reduce the risk of a heart attack.
Women who suffer from migraines have a slightly increased risk of developing cardiovascular disease and strokes in later life, a new study reports.
According to researchers, lower performance on thinking skills tests could signify an increased risk for stroke and heart attack in older people.
Researchers have developed a new injectable gel that releases microRNAs into heart muscles, restarting the replication of existing caridomyocytes following a heart attack.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeurologyNeuroscienceNeurotechOpen Neuroscience Articles··5 min read
Using AI technology to analyze CMR scans, researchers were able to precisely quantify the blood flow to the heart muscles of patients. Comparing the AI-generated blood flow results with health outcomes, the team found those with reduced blood flow were at increased risk of stroke, heart attacks, and heart failure. The machine-learning algorithm was able to predict which patients may die or suffer major adverse health events better than doctors could.