New university research is set to completely transform deep brain stimulation, enabling doctors to move away from manual adjustments and to automatic adjustments based on the patient’s symptoms using new technologies. First approved in 1998, deep brain stimulation is the placement of electrodes in the brain connected to a battery-operated generator in the chest. A small impulse of electricity moves from the generator to the electrodes to stimulate a specific area of the brain, relieving some symptoms and side effects for those with Parkinson’s disease, dystonia, epilepsy, and tremors. It is similar to a cardiac pacemaker. The challenge is in the past those electrical impulses needed to be manually done during doctor’s visits. But now, The University of Texas Health Science Center in San Antonio is using new technology that could completely transform everything. A software update can set the generator battery to continually adjust stimulation based on the patient’s symptoms using a tablet like an iPad that connects through Bluetooth. Here is how this can help: Adjust stimulation based on patient’s symptoms, creating individualized treatment. Improve patient quality of life through symptom optimization. Reduces the number of visits required. The technology manufacturer is launching the product for patient care in 24 locations and the product received federal Food and Drug Admin., approval on February 24. We can expect healthcare technology to become more automatic in the days…

Carnegie Mellon University—also known as CMU—has brought AI (artificial intelligence) to the forefront in many arenas. Now we see the university is partnering with Google Public Sector for large-scale computing, acquiring a large cloud-based GPU cluster. Google Public Sector is providing support for onboarding workloads and optimizing resources, ensuring CMU researchers can leverage its advanced GPU infrastructure. This partnership also brings Google’s presence in Pittsburgh and establishes the city as a growing tech hub in the East, all while bringing an important focus for the nation’s future talent pipeline. Here is how this can help: Expand high-performance computing capacity. Tackle complex challenges in AI. Advance scientific discovery and innovation for real-world impact. Looking to the future, we will continue to see advancements in AI that are closely linked to the availability of computing power. We will ultimately see groundbreaking discoveries that will shape the future of AI and its applications across many…