Academic Press Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity

Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on AI, its link to PM, and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as artificial intelligence (AI) has gained significant attention in the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems has enabled the generation of large amounts of data, making autoimmunity an ideal target for AI in the field of Precision Medicine (PM). 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 data sets 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. Review Presents the latest information on the importance of Artificial Intelligence in the development of precision medicine for autoimmune diseases From the Back Cover <p><i>Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity </i>covers background on AI, its link to PM, and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as artificial intelligence (AI) has gained significant attention in the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems has enabled the generation of large amounts of data, making autoimmunity an ideal target for AI in the field of Precision Medicine (PM). </p> <p>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 data sets 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. </p> About the Author 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.