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.
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Table of Contents
1. History, current status, and future directions of artificial intelligenceOlga Kubassova, Faiq Shaikh, Carlos Melus, and Michael Mahler
2. Precision medicine as an approach to autoimmune diseases
Marvin J. Fritzler and Michael Mahler
3. Biomarker and data science as integral part of precision medicine
Carlos Melus, Brenden Rossin, Mary Ann Aure, and Michael Mahler
4. Companion and complementary diagnostics: A key to precision medicine
Jan Tr�st J�rgensen
5. Checkpoint inhibitors: Interface of cancer and autoimmunity: Opportunity for second level precision medicine
Savino Sciascia, Marie Hudson, Marvin J. Fritzler, Minoru Satoh, and Michael Mahler
6. The evolving potential of precision medicine in the management of autoimmune liver disease
Gary L. Norman, Nicola Bizzaro, Danilo Villalta, Diego Vergani, Giorgina Mieli-Vergani, Gideon M. Hirschfield, and Michael Mahler
7. Precision medicine in autoimmune disease
Kevin D. Deane
8. Development of multi-omics approach in autoimmune diseases
May Y. Choi, Marvin J. Fritzler, and Michael Mahler
9. N-of-1 trials: Implications for clinical practice and personalized clinical trials
Joanne Bradbury and Michael Mahler
10. Health risk assessment and family history: Toward disease prevention
Lily W. Martin, Lauren C. Prisco, Laura Martinez-Prat, Michael Mahler, and Jeffrey A. Sparks
11. Regulatory aspects of artificial intelligence and machine learning-enabled software as medical devices (SaMD)
Michael Mahler, Carolina Auza, Roger Albesa, Carlos Melus, and Jungen Andrew Wu
12. Precision medicine from the patient's perspective: More opportunities and increasing responsibilities
Kim MacMartin-Moglia and Michael Mahler
