Novel bioactive glass incorporated in toothpaste shows reduction in tooth sensitivity in first-in-human clinical trial
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Jun-2026 11:16 ET (13-Jun-2026 15:16 GMT/UTC)
A novel bioactive glass incorporated in a toothpaste significantly reduced tooth sensitivity through prompt and lasting symptom relief, results from an ADA Forsyth Institute-administered clinical trial showed.
The first-in-human trial established the safety and efficacy of Sensi-IP, a bioactive glass technology developed by IR Scientific. ADA Forsyth researchers found statistically significant reductions in tooth sensitivity scores in the test group compared to a control group using a common sodium fluoride (NaF) toothpaste.
Cadmium telluride photovoltaics, a solar energy generation technology once considered limited in its potential, is poised for significant growth in the United States, according to a team of scientists analyzed challenges and proposed corresponding research goals in new research published in the peer-reviewed journal Joule.
Concrete contains a diversity of materials that scatter sound waves and make clear imaging difficult to obtain. In Applied Physics Letters, researchers created a high-resolution 3D ultrasonic imaging system for concrete that automatically adapts to different types of structures, sending frequencies into the material and using a vibrometer to capture the outcoming waves. The system can handle a wide range of frequencies, which means that even if ultrasonic waves are scattered by materials in the concrete, those that do make it through are still detected.
Reno, Nev. (January 27, 2206) – DRI’s STEM Education Program was recently awarded a $2.7 million grant from the U.S. Department of Education, Fund for the Improvement of Postsecondary Education. The four-year project will address the need to advance artificial intelligence (AI) and computer science classroom education in grades K-12. To accomplish this, training and resources will be provided to undergraduate preservice educators and those already in the classroom, with a focus on Nevada’s rural communities.
After two and a half years of work, the MLEDGE project (Cloud and Edge Machine Learning), led by Professor Nikolaos Laoutaris at IMDEA Networks, has demonstrated that it is possible to combine federated learning with cloud and edge computing infrastructures to develop artificial intelligence solutions that are more secure, efficient, and closer to end users. The project’s results have been translated into real-world applications in both the traditional and digital economy.