Boston University’s Center for Brain Research, which received a $3.2 million National Institutes of Health grant from the National Institute on Deafness and Other Communication Disorders, is ...
Context-dependent genetic modifiers of neurodegenerative condition revealed through multimodal machine learning ...
A team of researchers from the University of Rochester, Yale University, and Princeton University has made a big stride in neuroscience. They have shown a method to induce learning through the direct ...
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 ...
Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...
A team of researchers has revealed how the brain processes emotional information of sustained pain and pleasure. Using functional Magnetic Resonance Imaging (fMRI), the team recorded brain activity ...
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 ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
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 ...
Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results