Brain-computer interface, promise of restoring communication discussed at AAAS presentation

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Brain-computer interfaces promise to restore communication for individuals with severe speech and physical impairments. Current brain computer interfaces share many features of high-tech, conventional augmentative and alternative communication systems, but via direct brain link. Choosing the “right” brain-computer interface that maximizes reliability of the neural control signal and minimizes fatigue and frustration is critical. Jonathan…

UTMB develops drug to rejuvenate muscle cells

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IMAGE: Climbing man view more  Credit: The University of Texas Medical Branch at Galveston GALVESTON, Texas – Researchers from The University of Texas Medical Branch at Galveston have developed a promising drug that has proven to significantly increase muscle size, strength and metabolic state in aged mice, according to a study just published in Biochemical Pharmacology.…

OSA patients with excessive daytime sleepiness at greatest risk of cardiovascular disease

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IMAGE: Excessive daytime sleepiness in OSA patients increases cardiovascular disease risk. view more  Credit: ATS Feb. 15, 2019–Adults with obstructive sleep apnea (OSA) who experience excessive sleepiness while awake appear to be at far greater risk for cardiovascular diseases than those without excessive daytime sleepiness, according to new research published online in the American Thoracic Society’s…

Immune stimulant molecule shown to prevent cancer

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IMAGE: Esma Yolcu, Ph.D. view more  Credit: University of Louisville LOUISVILLE, Ky. – A research team at the University of Louisville has discovered that an immune checkpoint molecule they developed for cancer immunotherapy, also protects against future development of multiple types of cancer when administered by itself. The recombinant protein molecule SA-4-1BBL has been used to…

Artificial intelligence can predict survival of ovarian cancer patients

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The artificial intelligence software, created by researchers at Imperial College London and the University of Melbourne, has been able to predict the prognosis of patients with ovarian cancer more accurately than current methods. It can also predict what treatment would be most effective for patients following diagnosis. The trial, published in Nature Communications took place…