A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...

Mapping the brain is one of the biggest challenges in modern science. Researchers are trying to understand how billions of ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Researchers say the innovation, known as SmartEM, will speed scanning sevenfold and open the field of connectomics to a ...

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 computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled 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 ...

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 ...

As the Neuroscience Institute director, David Badre will lead interdisciplinary teams of neuroscientists, psychologists, data scientists, computer scientists and engineers who are driving the next ...