MedTech News
Portable test detects infections from a single drop of blood in 15 minutes
Researchers at Arizona State University have developed a breakthrough diagnostic tool that could transform how quickly and reliably we detect illnesses like COVID-19, Ebola, AIDS or Lyme disease.
In-mouth hydrogel releases artificial saliva to treat dry mouth
Now, researchers publishing in ACS Applied Polymer Materials have created a reusable hydrogel that releases artificial saliva over time, which could help provide sustained relief from dry mouth.
AI tools and datasets point to tailored treatments for kidney disease patients
Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School of Medicine and the Wharton School at the University of Pennsylvania can analyze kidney disease at the cellular level to match the most effective treatments and speed up solutions.
Scientists develop off-the-shelf immunotherapy for ovarian cancer
Ovarian cancer is the leading cause of death among women with gynecological cancers. The current medical playbook—surgery followed by chemotherapy—initially shows promise.
Toothpaste made from hair provides natural coating to repair teeth
Toothpaste made from your own hair may offer a sustainable and clinically effective way to protect and repair damaged teeth.
DeepSight wins first FDA nod for ultrasound therapy system
DeepSight Technology announced today that it received FDA 510(k) clearance for its NeedleVue LC1 ultrasound system
AI challenge models can independently interpret mammograms
Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while maintaining low recall rates, according to a study published in Radiology.
AI could soon detect early voice box cancer from the sound of your voice
Researchers have shown in Frontiers in Digital Health that abnormalities of the vocal folds can be detected from the sound of the voice.