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

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

Using machine learning to guide microscopes could reveal greater insights into the brain's connectome and deepen our ...

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 ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

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, high-performance brain-computer interface (BCI) can be rapidly implanted through a minimally invasive procedure. The new BCI solution has been implanted in over 50 patients.

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 ...