Researchers have developed a rapid and cost-effective particle agglutination based sensor that is powered by holographic imaging and deep learning
Search for: heart failure
Machine learning can accurately predict cardiovascular disease and guide treatment — but models that incorporate social determinants of health better capture risk and outcomes for diverse groups.
EPFL spin-off Readily3D has developed a novel system that can print biological tissue in just 30 seconds.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
Researchers have developed an injectable hydrogel that could help repair and prevent further damage to the heart muscle after a heart attack.
Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
Researchers developed a device that can monitor bladder volume in real time and effectively empty the bladder.
A robotic testing platform developed in just nine days by dementia researchers could substantially increase the UK’s capacity to test people for coronavirus.
A wearable sensor could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs and could prevent hospitalization.
For the first time researchers successfully reproduced the electrical properties of biological neurons onto semiconductor chips.
Researchers have demonstrated that their technique can stop the catheter at the right target and identify the source type with a 95.25 percent success rate.
Researchers have shown that they can use online neurofeedback to modify an individual's arousal state to improve performance in a demanding sensory motor task.
Scientists created a flexible ultrasonic patch that non-invasively monitors the blood pressure in major vessels such as the jugular vein and carotid artery.
A team at the University of Auckland's Bioengineering Institute has created a virtual 3D heart that could have a major impact on treatment of the most common heart rhythm disturbance, atrial fibrillation (AF).