The new laser could diagnose dementia in just seconds, researchers say (Picture: PA)

A new test that uses lasers to detect different types of dementia in just seconds could revolutionise how the disease is diagnosed.

A study conducted by the University Hospital Southampton (UHS) and the University of Southampton has analysed blood, spinal fluid or mucus using lasers to identify people with dementia early on.

Dementia can take up to two years to diagnose, but the new laser-based technique is cheaper than current tests and can provide results in just seconds, the researchers said.

Initial tests have shown it can detect Alzheimer’s disease with an average accuracy of more than 93%, they added.

Professor Chris Kipps, consultant neurologist at University Hospital Southampton, said the new technique represents ‘a breakthrough in medical technology’ and could ‘change the way we approach dementia diagnosis’.

He said: ‘This innovation is not just a leap in healthcare quality; it’s a paradigm shift, redefining our approach to neurodegenerative disease in the clinic.’

An elderly woman's hands
The laser can diagnose multiple types of dementia (Picture: PA)

More than 850,000 people are living with dementia in the UK, with numbers expected to rise to 1.4 million by 2040.

There are many different types of the condition, such as Alzheimer’s and vascular dementia, which is progressive and gets worse over time.

Many people do not receive a diagnosis until a much later stage in the disease when treatment options are less effective, the researchers said.

They said one of the main challenges is distinguishing between closely-related dementia types.

Professor Sumeet Mahajan, professor of molecular biophotonics and imaging at the University of Southampton, said: ‘Our integrated approach has the potential to revolutionise dementia diagnostics. There is an urgent unmet clinical need for more discriminatory, efficient and cost-effective solutions.

‘Our holistic MX-Raman technique is uniquely equipped to address these challenges and we want to see this technology lead to vastly improved patient outcomes.’

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