Researchers Identify Four Lupus Subgroups Associated with Lupus Outcomes using Long-term Autoantibody Data and Artificial Intelligence – Lupus…

Updated antibody research by Lupus Foundation of America Gary S. Gilkeson Career Development Awardee May Choi identifies subgroups of lupus patients with different outcomes based on long-term autoantibody data with the aid of artificial intelligence. An autoantibody is a type of protein produced when the bodys immune system is attacking itself, promoting inflammation and tissue damage. Antibody blood tests are used to help clinicians diagnose the disease.

A group of 805 people newly diagnosed with lupus were examined. Their demographic, clinical and blood was analyzed for five years.

The analysis revealed four autoantibody profiles of lupus outcomes:

Better lupus disease identification and prediction of disease outcome can help clinicians implement a more personalized approach to effectively monitor, evaluate, and treat patients. Says Dr. May Choi lead study author and Gary S. Gilkeson Career Development Awardee with the Lupus Foundation of America.

Learn more about Dr. Choi and her research efforts.

Read this study

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Researchers Identify Four Lupus Subgroups Associated with Lupus Outcomes using Long-term Autoantibody Data and Artificial Intelligence - Lupus...

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