Researchers have found a way to use graphene to make flexible photodetectors to measure heart rate, blood oxygen concentration, and breathing rate.
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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).