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New Diagnostics

Selfie to predict possibility of Parkinson's

Researchers at a top university have come up with a technique through which selfies taken on mobile phone can be analyzed to quite accurately predict the likelihood of development of Parkinson's Disease in future. The algorithm can analyze brief videos and short clips to arrive at the prediction. Once the model is trained using the training data, the software analyzes facial expressions, control over facial muscles while smiling and hand movements.

Following is the link to the original work:

Vascular defects may explain the progression as well as efficacy of treatment

As per the recent clinical study, patients of Parkinson's Disease experience some changes to the blood brain barrier. This may potentially create challenges with filtering the good molecules from the bad ones. This research may eventually help in identifying a potential target for the drugs and can help in assessing the future trials involving drug trials. Also, a study of expression of certain microRNAs in the cerebrospinal fluid of patients with Parkinson's Disease that can help in explaining the disease progression as well as explain if the drug is working. Even more damaging, is the fact that dysfunctional barrier allows inflammatory cells and molecules from the body to enter and damage the brain

Following is the original link:

Watch out for symptoms to understand progression

There are several symptoms that can quite accurately explain if the disease is advancing. Motor symptoms: Motor volatility during the day, involuntary movements for more than 1 hour per day. Non-motor symptoms may include mild cognitive decline, hallucinations. Functional disorders: Frequent falls, daily routine is becoming difficult to perform.

Details about these 3 ways can be found in the following link:

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