Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...
Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...
Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...
People with spinal cord injuries often lose movement even though their brains still send the right signals. Researchers ...
At a hackathon over the weekend, students worked with real brain data to create new tools for brain-machine systems. The post ...
An Indian-origin Harvard professor, Aravinthan Samuel, is revolutionizing brain mapping with SmartEM, an AI-powered system.
A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
A new study has demonstrated that a tiny bundle of optical fibers can continuously, accurately, and simultaneously measure six biomarkers of brain health, helping to prevent serious complications that ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
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