AI-Enhanced Data Analytics Framework for Autoimmune Disease: Revolutionizing Diagnosis, Monitoring, and Treatment Strategy

AI and precision medicine have advanced to improve patient diagnosis, prognosis, and treatment for autoimmune diseases like multiple sclerosis (MS). However, evaluations of AI efficacy, cost, and scalability are needed to fully enhance autoimmune rCTD care. Data scientists use healthcare analytics to help doctors make accurate diagnoses and choose the best treatments. Predictive and prescriptive analytics can forecast and monitor illness, and AI and machine learning pipelines can examine and learn from various data sources. These techniques can help diagnose and treat autoimmune diseases like MS, reduce illness severity, and optimize care plans, drugs, treatments, and resources for high-cost patients. Our analytics platform extends the same technology, procedures, and experience to population-level information to detect autoimmune and associated disorders in large patient groups.