MIT invents an algorithm that detects Parkinson’s disease

A group of researchers from the famous Massachusetts Institute of Technology (MIT) has created algorithms for early detection of Parkinson’s disease. Mimicking how the brain works, they are based on the patient’s breathing pattern.

It is a major discovery that took place within the prestigious MIT. As Usbek & Rica magazine reports, a group of researchers from this prestigious place of knowledge has succeeded in creating an artificial neural network that can detect Parkinson’s disease at an early stage. Consisting of several algorithms linked together to imitate the functioning of the human brain, it is based on the analysis of the breathing patterns of patients to predict the presence of the disease.

If this invention could turn out to be capital, it is because this neuro-degenerative disease turns out to be particularly difficult to detect. The first symptoms (extreme episodic fatigue, muscle stiffness, tremors) can indeed appear years after the declaration of the disease and are, at this stage, almost the only way to discover it. The other methods are “invasive, expensive and require access to specialized medical centers, which makes them unsuitable for frequent tests that could allow early diagnosis or continuous monitoring of disease progression”, explain the researchers of the MIT.

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25,000 new cases per year

The creation of this technology is all the more important because Parkinson’s is “the fastest growing neurological disease in the world.” Still according to Usbek & Rica, it already affected 167,000 people in France in 2015. To this are added 25,000 new cases detected each year.

As told by Dina Katabi, one of the researchers at MIT, this artificial neural network could also make it possible “to carry out clinical trials of a significantly shorter duration and with fewer participants, which ultimately accelerates the development of new therapies. ”. At this stage, there is indeed no treatment to stop or reverse Parkinson’s disease. Last but not least, this new means of detection “may aid in the assessment of patients with Parkinson’s disease in traditionally underserved communities, including those who live in rural areas and those who have difficulty leaving home due to limited mobility or cognitive impairment.” A real ray of hope for patients who suffer from it and their families.

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