LEADER 04397nam 22006495 450 001 9910838276603321 005 20250807143533.0 010 $a9789819990290 010 $a9819990297 024 7 $a10.1007/978-981-99-9029-0 035 $a(MiAaPQ)EBC31151273 035 $a(Au-PeEL)EBL31151273 035 $a(DE-He213)978-981-99-9029-0 035 $a(CKB)30362868400041 035 $a(OCoLC)1422231402 035 $a(EXLCZ)9930362868400041 100 $a20240213d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Autoimmune Diseases $eApplications in the Diagnosis, Prognosis, and Therapeutics /$fedited by Khalid Raza, Surender Singh 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (335 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1133 311 08$aPrint version: Raza, Khalid Artificial Intelligence and Autoimmune Diseases Singapore : Springer,c2024 9789819990283 327 $aAutoimmune Disorders: Types, Symptoms and Risk Factors -- Immune System and Autoimmunity: Cellular and Molecular Mechanisms -- Autoimmune Diseases: Recent Insights on Epidemiology, Pathogenesis and Prevalence Rate -- The Role of Artificial Intelligence and Machine learning in Autoimmune Disorders -- Autoimmune Autonomic Disorder: AI-based Diagnosis and Prognosis -- Detection of Rheumatoid Arthritis using CNN in Autoimmune Diseases Disorders -- The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis -- Exploring State-of-the-art CNN Models for Early Detection of Multiple Sclerosis using MRI Images -- AI-assisted Model for Risk Detection of Autoimmune Diseases -- Artificial Intelligence in the Diagnosis and Treatment of Rheumatoid Arthritis: Current Status and Future Perspectives -- Data Analytics for Diagnosis, Tracking, and Treatment Planning in Autoimmune Diseases using AI -- Role of Artificial Intelligence in the Treatment Management of Psoriatic Arthritis -- Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis and Treatment of Rheumatoid Arthritis: Case Studies -- Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies -- Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies -- AI-empowered Prediction of Prognosis and Treatment Response in Rheumatoid arthritis. 330 $aThe book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1133 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMedical informatics 606 $aQuantitative research 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aHealth Informatics 606 $aData Analysis and Big Data 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 0$aQuantitative research. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 615 24$aData Analysis and Big Data. 676 $a006.3 700 $aRaza$b Khalid$01266124 701 $aSurender Singh$01860011 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910838276603321 996 $aArtificial Intelligence and Autoimmune Diseases$94483534 997 $aUNINA