With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

In the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from ...

In a recent study published in Science Advances, researchers presented a deep learning framework, termed DeepAIR, to accurately predict adaptive immune receptor (AIR)-antigen binding by integrating ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of users by ...

Please provide your email address to receive an email when new articles are posted on . The adaptive deep brain stimulation technology is the first of its kind to address symptoms of Parkinson’s ...

The FDA approved Medtronic's BrainSense Adaptive DBS for Parkinson's, offering personalized therapy through automatic adjustments to patients' needs. The ADAPT-PD trial validated aDBS's safety and ...

Adaptive learning tools help teachers do their jobs more efficiently and support student engagement, concludes a recent study. But the study—conducted by foundry10, a philanthropic education research ...

Adaptive technology lets teachers and students customize lessons for a better learning experience. This can help close achievement gaps and promote equity in education. This article is part of "Build ...

This video is no longer available. Rick Schena, of Alexandria, Virginia, and his doctor at MedStar Health, in McLean, have begun using the latest technology — adaptive deep brain stimulation — in his ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...