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"After decades of sluggish progress the battle against Alzheimer’s disease is moving fast. Just last year scientists showed that spinal fluid can diagnose Alzheimer’s disease with a 100 percent accuracy. And a pair of studies published earlier this month showed brain scans to be reliable enough for commercial use. Now a group of researchers has shown that blood can be used to diagnose the disease. Routine blood tests could lead to earlier diagnoses and prove invaluable in efforts to treat the disease early and eventually find a cure.
The findings of Samantha Burnham and her colleagues from the Australian national research organization CSIRO caused quite a buzz at the latest Alzheimer’s Association International Conference. Of the 273 study participants, the blood screen correctly diagnosed Alzheimer’s in 83 percent of people previously diagnosed with cognitive tests or brain scans. It also correctly excluded 85 percent of people without the disease. For further confirmation they applied their model to two studies conducted by other groups. After plugging in the data, the model was very good at diagnosing the disease as well as predicting the amount of plaques–the tangles of protein thought to muck up neuron function in Alzheimer’s."
"After decades of sluggish progress the battle against Alzheimer’s disease is moving fast. Just last year scientists showed that spinal fluid can diagnose Alzheimer’s disease with a 100 percent accuracy. And a pair of studies published earlier this month showed brain scans to be reliable enough for commercial use. Now a group of researchers has shown that blood can be used to diagnose the disease. Routine blood tests could lead to earlier diagnoses and prove invaluable in efforts to treat the disease early and eventually find a cure.
The findings of Samantha Burnham and her colleagues from the Australian national research organization CSIRO caused quite a buzz at the latest Alzheimer’s Association International Conference. Of the 273 study participants, the blood screen correctly diagnosed Alzheimer’s in 83 percent of people previously diagnosed with cognitive tests or brain scans. It also correctly excluded 85 percent of people without the disease. For further confirmation they applied their model to two studies conducted by other groups. After plugging in the data, the model was very good at diagnosing the disease as well as predicting the amount of plaques–the tangles of protein thought to muck up neuron function in Alzheimer’s."