Diagnosing Alzheimer’s Early on with Machine Learning

July 7, 2016

 

 

Diagnosing Alzheimer’s early on has been a challenge that physicians and other experts continue to battle out. However, with technological advancements today, the dilemma may be detectable at all – even in its initial stage.

 

Researchers from VU University Medical Centre in Amsterdam, with Dr. Alle Meije Wink at the forefront, utilized machine-learning devices to identify early forms of the disease through a special MRI scan. The scan will then be showing the amount of blood going to the various areas of the brain. The scientists studied data and were able to classify 60 with mild cognitive impairment, 100 most likely to have Alzheimer’s, 100 with subjective cognitive decline, and 26 healthy. The machine-learning tool, thus was not only capable of grouping patients according to their levels of cognitive impairment but was also able to tell if one had the disease in past undiagnosed cases.

Good news indeed for those whose loved ones are at the brink of incurring the disease! Good thing there are also home care services at their disposal – making excellent health care just some fingertips away.

 

— Image Courtesy of Pixabay