A groundbreaking breakthrough offers hope to millions of people who fear developing Alzheimer’s. A new brain scan technique makes it possible to detect the disease’s traces long before the first symptoms appear.
A quiet revolution in brain scanning

British researchers have developed a method that can reveal microscopic changes in the brain, which until now could only be seen after death.
What’s new about the technique?

The method analyzes the brain’s gray matter at a cellular level and uncovers changes that ordinary scans are unable to detect.
When early diagnosis makes the difference

The earlier the disease is detected, the sooner patients can begin treatment to slow its progression.
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From the lab to the patients

The technology has already been tested in research settings and has shown it can detect Alzheimer’s-related changes years before symptoms appear.
The Oxford scientists behind the innovation

Two British neuroscientists, with backgrounds in both microscopic autopsies and advanced brain imaging, are leading the company driving the development.
FDA approval signals a breakthrough

The method has been granted “Breakthrough Device” designation in the US, underscoring its potential as a future tool in the fight against dementia.
Millions could gain clarity

Researchers highlight that millions of people are searching for an accurate, non-invasive test that can provide insights into their brain health.
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Experts celebrate – but urge patience

Alzheimer’s Research UK has hailed the technology as a major step forward, but warns that more clinical data is needed before it can be widely adopted.
What the technology could mean for the future

If rolled out in healthcare systems, the method could transform how we detect and manage Alzheimer’s – giving patients earlier access to support and treatment.
One step closer to buying time

Alzheimer’s begins many years before symptoms surface. The ability to spot signs early could give people the most precious resource of all: time.
This article is based on information from Unilad
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