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 ...

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

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

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 ...

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 ...

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.

New research indicates that the structural organization of the human brain does not develop in a continuous, linear fashion ...

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 ...

Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...