New Delhi, January 8 (IANS). A research has revealed that Artificial Intelligence (AI) technology can play an important role in early detection of autoantibody diseases, such as rheumatoid arthritis and lupus. High risk patients can benefit from it.
In people with autoimmune diseases, the immune system mistakenly attacks their body’s healthy cells and tissue. These include type 1 diabetes, multiple sclerosis, lupus and rheumatoid arthritis.
The team, led by researchers at Penn State College of Medicine, said early detection is important as it can lead to improved treatment and better disease management.
Using machine learning (artificial intelligence) the team has developed a new method that can predict autoimmune disease progression in people with preclinical symptoms.
These diseases often involve a preclinical stage before diagnosis, characterized by mild symptoms or certain antibodies in the blood.
This method, called the Genetic Progression Score or GPS, can predict progression from preclinical to disease stages.
In the study the team used GPS to analyze real-world data to predict the progression of rheumatoid arthritis and lupus.
The method was found to be 25 to 1,000 percent more accurate in determining mild symptoms than existing models.
“By targeting more relevant populations, including people with a history of the disease or who are experiencing early symptoms, we can use machine learning to solve the problem,” said Dejiang Liu, a professor at Penn State College of Medicine. Are.
Liu said that using GPS to accurately predict disease progression could make treatment easier.
-IANS
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