Institute of Immunology, Medical Faculty "Carl Gustav Carus", Technical University of Dresden, Dresden, Germany.
Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel Hashomer, Israel; Department of Medicine, Sheba Medical Center, Tel Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Autoimmun Rev. 2020 May;19(5):102508. doi: 10.1016/j.autrev.2020.102508. Epub 2020 Mar 12.
The past decade has witnessed a significant paradigm shift in the clinical approach to autoimmune diseases, lead primarily by initiatives in precision medicine, precision health and precision public health initiatives. An understanding and pragmatic implementation of these approaches require an understanding of the drivers, gaps and limitations of precision medicine. Gaining the trust of the public and patients is paramount but understanding that technologies such as artificial intelligences and machine learning still require context that can only be provided by human input or what is called augmented machine learning. The role of genomics, the microbiome and proteomics, such as autoantibody testing, requires continuing refinement through research and pragmatic approaches to their use in applied precision medicine.
过去十年见证了自身免疫性疾病临床方法的重大范式转变,主要由精准医学、精准健康和精准公共卫生计划推动。要理解和切实实施这些方法,就需要了解精准医学的驱动力、差距和局限性。赢得公众和患者的信任至关重要,但要理解人工智能和机器学习等技术仍需要人类输入或所谓的增强机器学习提供的背景。基因组学、微生物组和蛋白质组学(如自身抗体检测)的作用需要通过研究和切实的方法来不断完善,以将其应用于应用精准医学。