2023-05-18 17:17:00
Researchers hope to improve a patient’s quality of life by detecting the disease earlier, which also reduces health care costs
Researchers from Australia and the United States have created an artificial intelligence tool that can predict Parkinson’s disease up to 15 years before a person actually develops the disease.
A report published by the newspaper (Metro) issued in London, and viewed by Al Arabiya Net, said that the researchers trained an artificial intelligence model to detect Parkinson’s disease, and it is supposed to succeed in predicting its incidence 15 years before diagnosis, which means that this tool shortens Doctors for many years, and help in dealing with the patient before infection.
Parkinson’s disease, the fastest growing neurological disorder worldwide, is caused by the loss of neurons in the brain, and symptoms include body tremors, slow movement, body stiffness and problems with balance.
Other symptoms, including depression, sleep problems, constipation and loss of smell, can appear decades before the more common physical and cognitive signs appear.
The research team, which belongs to the University of New South Wales in Australia, and Boston University in the United States, was able to train their artificial intelligence model to detect the disease in blood samples, using data generated from a study of 41,000 participants.
The AI model was given blood data from a random group of 39 participants who went on to develop Parkinson’s disease, and by testing the blood, the AI was able to identify those who later developed Parkinson’s disease with up to 96 percent accuracy, up to 15 years before a clinical diagnosis.
Studies show that the diagnosis of Parkinson’s disease with current clinical methods ranges from 65% to 93%.
Diana Chang and Assistant Professor William Alexander Donald wrote: “Parkinson’s disease is not inherited, has no specific test and cannot be accurately diagnosed before motor symptoms appear. Overall, AI can detect Parkinson’s disease with an accuracy of up to 96%. The AI tool also helped us identify subjects. chemicals or metabolites that are likely to be associated with those who later developed the disease.”
The UNSW team said: “Our research identified a chemical, most likely a triterpenoid, as a key metabolite that can prevent Parkinson’s disease, and the abundance of triterpenoids was lower in the blood of those who developed Parkinson’s disease than in those who did not.”
The team added: “A synthetic chemical has also been linked as something that may increase the risk of developing the disease. This chemical was found in higher amounts in those who later developed Parkinson’s disease.”
The researchers say they hope to improve a patient’s quality of life by detecting the disease earlier, which also reduces healthcare costs.
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