Titlebook: Artificial Intelligence and Autoimmune Diseases; Applications in the Khalid Raza,Surender Singh Book 2024 The Editor(s) (if applicable) an

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AI-Enhanced Data Analytics Framework for Autoimmune Disease: Revolutionizing Diagnosis, Monitoring, owever, 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

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Clemens Wolff,Niklas Kühl,Gerhard SatzgerMS, 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.

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Soe-Tsyr Daphne Yuan,Hsi-Yun Wangter aims to systematically present computational intelligence-based approaches for biomarker discovery, along with case studies on the applications of computational intelligence methods for biomarkers discovery in Rheumatoid Arthritis, Systemic Lupus Erythematosus, and Multiple Sclerosis.

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AI-Enhanced Data Analytics Framework for Autoimmune Disease: Revolutionizing Diagnosis, Monitoring, 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.

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Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studiester aims to systematically present computational intelligence-based approaches for biomarker discovery, along with case studies on the applications of computational intelligence methods for biomarkers discovery in Rheumatoid Arthritis, Systemic Lupus Erythematosus, and Multiple Sclerosis.