AI Predicts Autoimmune Disease Progression

This is a news story, published by ScienceDaily, that relates primarily to Penn State College of Medicine news.

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Predicting the progression of autoimmune disease with AI

Summary

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80% Informative

Researchers from Penn State College of Medicine developed a new method to predict the progression of autoimmune disease among those with preclinical symptoms.

The team used artificial intelligence to analyze data from electronic health records and large genetic studies of people with autoimmune disease to come up with a risk prediction score.

When compared to existing models, this methodology was between 25% and 1,000% more accurate in determining whose symptoms would move to advanced disease.

The team used real-world data from the Vanderbilt University biobank to predict the progression of rheumatoid arthritis and lupus.

GPS better predicted disease progression than 20 other models that rely on biobanks or case-control samples only.

Accurate prediction of disease progression using GPS can enable early interventions, targeted monitoring and personalized treatment decisions.

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formal

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English

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