AI measures fat around heart to predict diabetes
Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.
Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.
Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
We spoke to wearables and medical device expert Professor John Rogers about the benefits, challenges, trends and innovation within the sector.
Wearable fitness trackers and step counters help people who are overweight/obese and/or who have weight-related health conditions to shed the pounds.
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 combined machine learning, 3D printing and high performance computing simulations to accurately model blood flow in the aorta.
Engineers are developing a 3D printed artificial blood vessel that allows doctors and patients to keep tabs on its health remotely.
An invention may turn one of the most widely used materials for biomedical applications into wearable devices to help monitor heart health.
A 3D printing technique allows fabrication of multilayer blood vessels that have the unique biomolecules needed to transform into functional blood vessels when they are implanted.
Patients recovering from coronary heart disease who received rehabilitation through WeChat experienced a better recovery than those having standard care.
A simple innovation the size of a grain of sand means we can now analyse cells and tiny particles as if they were inside the human body.
Researchers announce critical advances in the use of 3D-printed coronary phantoms with diagnostic software, further developing a non-invasive diagnostic method for Coronary Artery Disease risk assessment.
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.