Automated detection of focal epileptic seizures in a sentinel area of the human brain

Patients with focal epilepsy that does not respond to medications badly need alternative treatments. In a first-in-humans pilot study, researchers at the University of Alabama at Birmingham have identified a sentinel area of the brain that may give an early warning before clinical seizure manifestations appear. They have also validated an algorithm that can automatically detect that early warning. These […]

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New software designed for rapid, automated identification of dendritic spines

Is it possible for microscopes to learn a bit about the brain? Even be taught by neuroscientists to reliably recognize parts of brain cells… all on their own? Though it may seem like something straight out of “The Jetsons”, a neuroscientist and software engineer in the lab of MPFI’s Scientific Director, Dr. Ryohei Yasuda, Ph.D., is developing new software with […]

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Automated system better identifies patients at risk for ventilator-associated pneumonia

An automated system for identifying patients at risk for complications associated with the use of mechanical ventilators provided significantly more accurate results than did traditional surveillance methods, which rely on manual recording and interpretation of individual patient data. In their paper published in Infection Control & Hospital Epidemiology, a Massachusetts General Hospital (MGH) research team report that their system—using an […]

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