Researchers have invented a high-throughput cell separation method that can be used in conjunction with droplet microfluidics.
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
Results of the first clinical trial of 3D printed NP swabs for COVID-19 testing are being presented at the annual meeting RSNA.
The supplier sector will showcase its expertise and innovative high-tech solutions for the medical technology industry.
Researchers have created fundamental electronic building blocks out of tiny structures known as quantum dots and used them to assemble functional logic circuits.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
Scientists have made a breakthrough in their work to develop semi-autonomous colonoscopy, using a robot to guide a medical device into the body.
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
Researchers have created a wearable sensor printed on microbial nanocellulose, a natural polymer.
Although true “cyborgs” — part human, part robotic beings — are science fiction, researchers are taking steps toward integrating electronics with the body.
This is the first known time that AI has used causation instead of correlations to support doctors with diagnosis in simulated cases.