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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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發(fā)表于 2025-3-21 17:56:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Autoimmune Diseases
期刊簡(jiǎn)稱Applications in the
影響因子2023Khalid Raza,Surender Singh
視頻videohttp://file.papertrans.cn/163/162168/162168.mp4
發(fā)行地址Covers fundamental concepts of auto-immune diseases.Presents recent developments in AI-based diagnosis of various auto-immune diseases.Covers applications of ML and DL in the prognosis and treatment p
學(xué)科分類Studies in Computational Intelligence
圖書(shū)封面Titlebook: Artificial Intelligence and Autoimmune Diseases; Applications in the Khalid Raza,Surender Singh Book 2024 The Editor(s) (if applicable) an
影響因子.The book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine 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..
Pindex Book 2024
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The Role of Artificial Intelligence and Machine Learning in Autoimmune Disorders against its healthy cells, tissues, and other typical body parts. Therefore, a disorder known as an autoimmune illness results from an inappropriate immune reaction to a healthy bodily function. The science of developing computers with intelligence that both mimics and exceeds that of humans is kno
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Autoimmune Autonomic Disorder: AI-Based Diagnosis and Prognosissymptoms. Timely and accurate diagnosis is crucial for effective management and treatment. This article explores the application of artificial intelligence (AI) in the diagnosis and prognosis of AAD, presenting an innovative approach to improve patient care. AI-based diagnostic tools have shown prom
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