Lifecare takes next steps in CGM implant development
July 2, 2025
Lifecare said on social media that it completed a significant milestone in the development of its continuous glucose monitor (CGM) implant.
Lifecare said on social media that it completed a significant milestone in the development of its continuous glucose monitor (CGM) implant.
OSLO, Norway, July 1, 2025 /PRNewswire/ — SonoClear AS today announced that the Center for Devices and Radiological Health (CDRH) of the U.S. Food and Drug Administration (FDA) has designated the SonoClear® System as a Breakthrough Device for use in intracranial ultrasound procedures.
Regulatory Approval Paves the Way for U.S. Market Launch of Innovative Therapy Targeting Chronic Pain and Neurological Disorders
Electrodes coated with DNA could enable inexpensive tests with a long shelf-life, which could detect many diseases and be deployed in the doctor’s office or at home.
New cutting-edge software developed in Melbourne can help uncover how the most common heart tumor in children forms and changes. And the technology has the potential to further our understanding of other childhood diseases, according to a new study.
Traditional histopathology, crucial for disease diagnosis, relies on chemically staining tissue samples to highlight cellular structures for microscopic examination by pathologists. This labor-intensive “histochemical staining” process is time-consuming, costly, requires chemical reagents, and is destructive to the tissue.
BOSTON, June 30, 2025 /PRNewswire/ — TOBY, Inc., a biotech startup advancing non-invasive cancer detection through urine-based volatilomics and Artificial Intelligence, announced today the U.S. Food and Drug Administration (FDA) has granted Breakthrough Device Designation for its TOBY Test for Bladder Cancer.
The approach collects multiple types of imaging and sequencing data from the same cells, leading to new insights into mouse liver biology.
A collaboration of leading Chinese research institutions has developed an artificial intelligence-based method called GRAPE, demonstrating high accuracy in detecting gastric cancer from routine noncontrast CT scans.
A Caltech-led team has developed a safe, effective, and painless breast imaging technique that incorporates machine learning to help differentiate between suspicious and healthy tissue.