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 ...
The Braingeneers team will to test the ability of brain organoids to solve tasks in real time Artificial intelligence (AI) ...
Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...
Advances in neuroscience now make it possible to develop treatments for psychiatric disorders through targeted brain interventions. However, designing effective protocols requires careful ...
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Machine learning helps tailor deep brain stimulation to improve gait in Parkinson’s disease
A team of researchers at the University of California, San Francisco has developed a data-driven method for optimizing deep brain stimulation (DBS) settings that significantly improved walking ...
In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...
STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...
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 ...
Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...
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