Advancing Neuromodulation with AI Technology
USC Researcher Leads $2.4M AI Cerebellum Project
Maryam Shanechi will develop AI-directed treatments to improve motor disorder therapies and replace manual methods.
A scientist analyzes a glowing 3D digital model of the human brain's cerebellum on a high-tech transparent screen in a modern laboratory.
Photo: Kronos Digital News
USC Viterbi School of Engineering researcher Maryam Shanechi has been selected to lead a new $2.4 million artificial intelligence initiative [1]. This project is part of the larger Raynor Cerebellum Project and focuses on creating adaptive treatments for cerebellar motor disorders [1]. The team aims to replace traditional trial-and-error therapy methods with automated, data-driven solutions [1].
Shanechi’s team will develop AI-directed neuromodulation systems to treat patients with movement issues [1]. These systems are designed to adjust brain stimulation in real-time based on specific patient needs [1]. This core technology could eventually lead to more precise and personalized care for complex neurological conditions [1].
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Kronos Digital News Desk covers advancing neuromodulation with ai technology and editorial analysis for Kronos Digital News.