
AI helps predict heart attacks and stroke
In a new study, artificial intelligence has been used for the first time to instantly and accurately measure blood flow.
In a new study, artificial intelligence has been used for the first time to instantly and accurately measure blood flow.
Researchers have found a way to use graphene to make flexible photodetectors to measure heart rate, blood oxygen concentration, and breathing rate.
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 a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
A dual-organ system enables the measurement of cardiac toxicity arising from breast cancer chemotherapy.
Scientists have developed a wearable device that can accurately assess blood loss by measuring seismic vibrations in the chest cavity.
Researchers used AI and genetic analyses to examine the structure of the inner surface of the heart using 25 000 MRI scans.
Researchers have combined machine learning, 3D printing and high performance computing simulations to accurately model blood flow in the aorta.
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.
The future of socially distanced lung and heart health monitoring could lie in an inconspicuous yet incredibly sensitive chip.
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.
Engineers from the Massachusetts Institute of Technology have developed a biorobotic hybrid heart for testing prosthetic valves and other cardiac devices.
Reserchers have made progress developing living heart valves that can grow with the body and integrate with the patient's native tissue.
For the first time researchers successfully reproduced the electrical properties of biological neurons onto semiconductor chips.
A new study highlights the feasible use of mhealth devices to help with the screening and detection of atrial fibrillation.
3D printed custom-made artificial heart valves from silicone could help meet an ageing population’s growing demand for replacement heart valves.
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 "printed" the world's first 3D vascularised engineered heart using a patient's own cells and biological materials.
A toilet-seat based cardiovascular monitoring system aims to lower the hospital readmission rates of patients with congestive heart failure.
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.
Garmin and University of Kansas Medical Center are collaborating to better understand how wearables can assist in the detection and management of significant medical conditions.
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).