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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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Gerhard Satzger,Lia Patrício,Peter Hottumrent state of the art in AI and ML-based diagnosis of MS, including the use of imaging data, clinical data, and biomarkers. Additionally, it highlights the challenges and limitations of AI and ML in MS diagnosis, along with the potential future possibilities of research in this area.
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Vera L. Miguéis,Henriqueta Nóvoades AI systems alerting diabetic patients in advance about potential hypoglycemic attacks, marking a considerable stride in diabetes care innovations. This chapter discusses the application of AI and machine learning techniques in diagnosing Type I Diabetes, offering insights through case studies.
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Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Stdes AI systems alerting diabetic patients in advance about potential hypoglycemic attacks, marking a considerable stride in diabetes care innovations. This chapter discusses the application of AI and machine learning techniques in diagnosing Type I Diabetes, offering insights through case studies.
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Book 2024etermine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases..
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1860-949X challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases..978-981-99-9031-3978-981-99-9029-0Series ISSN 1860-949X Series E-ISSN 1860-9503
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The problem of service productivity the specific disorders have numerous possible symptoms and individual symptoms vary. Symptoms of autoimmune diseases vary depending on the affected body part. Many types of autoimmune diseases cause fatigue, redness, swelling, heat and pain. This chapter reviews some autoimmune risk factors, indica
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Airport productivity measurement of AI and machine learning to analyze how autoimmunity behaves in conditions like autoimmune diseases. Moreover, we also discussed the impact of employing machine learning techniques to optimize precision medicine for patients.
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