A machine learning-based model designed to detect undiagnosed dementia from routinely-collected National Health Service data in England did so with 85% sensitivity and 87% specificity. Cumulative cell phone radiation from mobile phones over one year may harm memory performance in adolescents, Swiss researchers reported from a cohort study. University of Arizona researchers will test ketamine to control dyskinesia in Parkinson's disease. Brain iron is associated with disability in multiple sclerosis. A British supermarket chain has a weekly "quieter hour" with dim lights and no overhead music to reduce sensory overload on people with autism.
"Siri, do I have Parkinson's?" That might sound flippant, but actually new research shows that it's possible to detect Parkinson's symptoms simply by using algorithms to detect changes in voice recordings. Parkinson's, a degenerative disorder of the central nervous system, is usually diagnosed through analysis of symptoms along with expensive medical imaging to rule out other conditions--though there is currently no concrete method for detecting it. Max Little, from the University of Oxford, has different ideas. He's been developing software that learns to detect differences in voice patterns, in order to spot distinctive clues associated with Parkinson's.
The development of so-called neurostimulators may lead to dystopian scenarios whereby hackers create false memories and implant them in people's brains, researchers have warned. The human brain is vulnerable to manipulation through implantable medical devices used to treat things like Parkinson's, according to a practical and theoretical review of this and other scenarios undertaken by the University of Oxford Functional Neurosurgery Group and Russian cyber security firm Kaspersky. Within a decade, technology will also have progressed to the point that commercial memory boosting implants will be available to buy, according to the researchers, while 20 years from now could see a time when it will the technology will be advanced enough to allow for "extensive control over memories." The development of these technologies will have a number of healthcare benefits and will open up the possibility of new bio-connected technologies like increased brain capacity, however it also holds the potential for exploitation and abuse. "New threats resulting from this could include the mass manipulation of groups through implanted or erased memories of political events or conflicts; while'repurposed' cyberthreats could target new opportunities for cyber-espionage or the theft, deletion of, or'locking' of memories (for example, in return for a ransom)," the researchers wrote in their report'The Memory Market: Preparing for a future where cyberthreats target your past'.
Autism is an extreme version of the'male brain' which makes it harder to read others' emotions, a major study suggests. The world's largest study comparing autism with male personality traits has found striking similarities. Men, like people with autism, are typically less good with feelings and more likely to want to know how things work. The world's largest study comparing autism with male personality traits has found striking similarities (stock) Compared to women, they tend to be more uneasy in social situations, less socially perceptive and may fail to understand why they have caused offence. Researchers at the University of Cambridge, who analysed personality tests for more than half a million men and women, found both men and autistic people were more'systematic' than'empathetic'.
Washington DC, [USA] Sep 30 (ANI): Scientists using machine learning - a type of artificial intelligence - with data from hundreds of children who struggle at school, identified clusters of learning difficulties. Researchers from the Medical Research Council Cognition and Brain Sciences Unit at the University of Cambridge said that this reinforces the need for children to receive a detailed assessment of their cognitive skills to identify the best type of support. The study recruited 550 children who were referred to a clinic because they were struggling at school. The scientists said that much of the previous research into learning difficulties have focused on children who had already been given a particular diagnosis, such as attention deficit hyperactivity disorder (ADHD), an autism spectrum disorder, or dyslexia. By including children with all difficulties- regardless of diagnosis-this study better captured the range of difficulties.