More than 1,000 people across the UK with suspected dementia are to be offered a blood test for Alzheimer's disease which it is hoped could revolutionise diagnosis of the disease. The blood test can detect biomarkers for rogue proteins which accumulate in the brains of patients with the condition and will be used in addition to pen and paper cognitive tests, which often misdiagnose it in its early stages. Scientists leading the trial at University College London believe the blood test will improve the accuracy of diagnosis from 70% to more than 90% and want to see how that helps patients and clinicians. Patients will be recruited at 20 memory clinics as part of the study, which aims to see how well the test works within the NHS. Alzheimer's disease is the most common form of dementia and is associated with the build-up in the brain of two rogue proteins - amyloid and tau - which can accumulate for up to 20 years before symptoms emerge.

Using data from more than 15,300 patients in the US, research from the University of Exeter found that a form of artificial intelligence called machine learning can accurately tell who will go on to develop dementia. The technique works by spotting hidden patterns in the data and learning who is most at risk. The study, published in JAMA Network Open and funded by funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. The researchers analysed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US. The attendees did not have dementia at the start of the study, though many were experiencing problems with memory or other brain functions.

Machine learning algorithms have been trained to predict the likelihood of a person developing dementia with 92 per cent accuracy, a study has concluded. Using data from over 15,300 patients in the US, research from Exeter University found that machine learning can accurately tell who will go on to develop dementia within two years of attending a memory clinic. The technique identifies hidden patterns in the data and learning who is most at risk. The study, published in JAMA Network Open and funded by funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. The researchers analysed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US.

Dementia is a collection of neurodegenerative diseases, which 55 million people around the globe are living with, in the present, as we read this article. The number of people suffering from this syndrome is increasing as the proportion of older people rises in most countries. Currently, no cure is available to treat dementia. Early diagnosis offers the best chance of managing this condition. Most people visit memory clinics when they start experiencing cognitive impairments such as forgetfulness.

Artificial intelligence can predict who will develop dementia within two years of attending a memory clinic, according to a new large-scale study published in JAMA Network Open today, Thursday 16th December. Using data from more than 15,300 patients in the US between 2005 and 2015, researchers from the University of Exeter and The Alan Turing Institute found that one in ten (1,568) of those who attended a clinic received a new diagnosis of dementia within two years of their visit. The scientists also found that around eight per cent (130) of diagnoses were made in error, as their diagnosis was subsequently reversed. Machine learning models accurately identified more than 80 per cent of these inconsistent diagnoses. Dr Rosa Sancho, Head of Research at Alzheimer's Research UK said, "Artificial intelligence has huge potential for improving early detection of the diseases that cause dementia and could revolutionise the diagnosis process for people concerned about themselves or a loved one showing symptoms. "This technique is a significant improvement over existing alternative approaches and could give doctors a basis for recommending life-style changes and identifying people who might benefit from support or in-depth assessments." The researchers analysed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US. The attendees did not have dementia at the start of the study, though many were experiencing problems with memory or other brain functions. The technique works by spotting hidden patterns in the data and learning who is most at risk. The study, funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. Professor David Llewellyn, a Fellow at The Alan Turing Institute based at the University of Exeter, who oversaw the study, said: "We're now able to teach computers to accurately predict who will go on to develop dementia within two years.

Artificial intelligence can predict which people who attend memory clinics will develop dementia within two years with 92 percent accuracy, a largescale new study has concluded. Using data from more than 15,300 patients in the US, research from the University of Exeter found that a form of artificial intelligence called machine learning can accurately tell who will go on to develop dementia. The technique works by spotting hidden patterns in the data and learning who is most at risk. The study, published in JAMA Network Open and funded by funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. The researchers analyzed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US.

Dementia is the deterioration of cognitive functioning thinking, remembering, problem-solving and reasoning which can interfere with daily life. Though dementia is more common in older adults, it is not a part of normal aging. It can also affect younger people. Are you at risk of developing dementia? Artificial intelligence can predict that, concluded a study published in JAMA Network Open.

Pioneering technology using artificial intelligence in the UK and US can accurately predict which people will within two years develop dementia. A study forecast which patients would develop dementia with up to 92 per cent accuracy, surpassing other research methods. University of Exeter researchers used data from 15,300 patients in the US and found that a form of Artificial Intelligence (AI) called machine learning can help to determine dementia sufferers. The technique works by spotting hidden patterns in the data and learning who is most vulnerable. The researchers say the algorithm could help to reduce the number of people wrongly diagnosed with dementia.

Artificial intelligence can predict which people who attend memory clinics will develop dementia within two years with 92 per cent accuracy, a largescale new study has concluded. Using data from more than 15,300 patients in the US, research from the University of Exeter found that a form of artificial intelligence called machine learning can accurately tell who will go on to develop dementia. The technique works by spotting hidden patterns in the data and learning who is most at risk. The study, published in JAMA Network Open and funded by funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. The researchers analysed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US.

Artificial intelligence systems have been developed to predict whether someone will develop dementia within two years, with 92 per cent accuracy, its developers claim. Data from 15,300 patients in the US was used to train the AI by researchers from the University of Exeter, teaching it who would and wouldn't go on to develop dementia. The technique works by spotting patterns in the data and learning who is most at risk, with researchers hoping it could cut the number of people wrongly diagnosed. Dementia is an umbrella term used to describe a range of progressive neurological disorders (those affecting the brain) which impact memory, thinking and behaviour. There are many different types of dementia, of which Alzheimer's disease is the most common.