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Early Detection

Scientists have utilized accelerometry and machine learning to develop a model capable of diagnosing Parkinson's Disease up to seven years in advance, making it a valuable screening tool. Furthermore, a study involving over ten thousand smartwatch users suggests that these devices may help identify the onset of Parkinson's Disease years before symptoms appear, offering potential for early diagnosis. Another interesting development involves the detection of low-frequency brain waves through EEG, which can be utilized to identify cognitive impairment in Parkinson's Disease with just a few minutes of recording. Additionally, a skin test has been developed to detect alpha-synuclein levels, a protein associated with Parkinson's Disease, as well as other related conditions, aiding in the early detection and potential treatment of the disease.

Following are some of the interesting articles:


Wearable movement tracking for PD early identification

Using predictive value of accelerometry, scientists developed a machine learning model to diagnose and pre-diagnose the disease up to 7 years in advance. Accelerometry is a low-cost screening tool for identifying people at risk of developing Parkinson’s Disease. It can also identify candidates for trials for neuroprotective treatments.

Following is the link to the original source:


Smart watches for diagnosis

A study suggests that smart watches might help diagnose Parkinson’s Disease ahead of the symptoms by as much of seven years. The study involved analysing data of over ten thousand smart phone users. Based on tracking data of smart watches over one week, between 2013 and 2016, Parkinson’s Disease onset was predicted. This can eventually used as a screening tool.

Following is the link to the original source:


Brainwave to predict cognitive impairment

A top university has found that low-frequency brain waves detected by EEG in frontal brain area during cognitive tasks can be useful in detecting cognitive impairment in Parkinson’s Disease. Even a few minutes of recording is sufficient for this detection. This may help in developing new biomarkers and targeted therapies.

Following is the link to the amazing work:


Skin test for detection of disease

A test for checking the level of alpha-synuclein in the skin has been developed to detect the disease. This test can also potentially be useful for Multiple System Atrophy and Dementia with Lewy Bodies. While this protein is useful, in case of patients of Parkinson’s Disease, it misfolds and form clumps clogging cells and impacting the ability to work.

Following is the link to the original source:

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