| Description |
1 online resource (xv, 284 pages) illustrations (some color) |
| Contents |
History, current status, and future directions of artificial intelligence / Olga Kubassova [and others] -- Precision medicine as an approach to autoimmune diseases / Marvin J. Fritzler and Michael Mahler -- Biomarker and data science as integral part of precision medicine / Carlos Melus, Brenden Rossin, ... Michael Mahler -- Companion and complementary diagnostics: a key to precision medicine / Jan Trøst Jørgensen -- Checkpoint inhibitors: interface of cancer and autoimmunity: Opportunity for second level precision medicine / Savino Sciascia, Marie Hudson [and others] -- The evolving potential of precision medicine in the management of autoimmune liver disease / Gary L. Norman [and others] -- Precision medicine in autoimmune disease / Kevin D. Deane -- Development of multi-omics approach in autoimmune diseases / May Y. Choi, Marvin J. Fritzler and Michael Mahler -- N-of-1 trials: implications for clinical practice and personalized clinical trials / Joanne Bradbury and Michael Mahler -- Health risk assessment and family history: toward disease prevention / Lily W. Martin -- Regulatory aspects of artificial intelligence and machine learning-enabled software as medical devices (SaMD) / Michael Mahler [and others] -- Precision medicine from the patient's perspective: more opportunities and increasing responsibilities / Kim MacMartin-Moglia and Michael Mahler |
| Summary |
"Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options"-- Publisher's description |
| Bibliography |
Includes bibliographic references and index |
| Notes |
Michael Mahler received his Ph.D. from the institute of molecular genetics at the University of Heidelberg (Germany). During his Ph.D. thesis, Michael Mahler worked at The Scripps Research Institute in the laboratory of Prof. Mike Pollard and Prof. Eng Tan. He is currently Vice President of Research at Inova Diagnostics. His research is focused on the B-cell autoimmune response in autoimmune diseases and the discovery of novel autoantigens which resulted in more than 300 peer reviewed journal articles as well as several patents. In addition, he works on the development and characterization of novel diagnostic assays for the diagnosis of autoimmune diseases. In the scientific community, he serves as Editor of different scientific journals and as reviewer for more than 40 journals. Michael Mahler became exposed to and interested in Artificial Intelligence as well as Precision Medicine and as a consequence, co-founded the Precision Medicine in Autoimmunity (PMA) (www.precisionmedicineautoimmunity.org) conference |
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Description based on online resource; title from electronic title page (ProQuest Ebook Central, viewed May 8, 2023) |
| Subject |
Artificial intelligence -- Medical applications.
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Autoimmunity.
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Artificial intelligence.
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Precision medicine.
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Artificial Intelligence
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Precision Medicine
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Autoimmunity
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artificial intelligence.
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Artificial intelligence -- Medical applications
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Autoimmunity
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| Form |
Electronic book
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| Author |
Mahler, Michael. (Ph.D.) editor
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| ISBN |
9780323854320 |
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032385432X |
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