The article discusses several problems of health and quality of life management, such as motivating people to healthy lifestyle using gamification and monetization methods, the validity of recommendations and their personalization, monitoring results and supporting the use of health-saving programs, correct orientation in the face of a huge amount of unreliable information about methods of improving health from the Internet, etc. The tool for solving these problems is an intelligent digital platform created by the authors, which, based on big data about the human body, its lifestyle and habitat, automatically generates personal recommendations for healthy lifestyle aimed at improving health and quality of life. The complex of scientific and methodological, technological, regulatory, legal, motivational, commercial, and other approaches and solutions developed within the framework of this project is considered. A comparative analysis of several analogues of the platform is carried out.

An overview of the architecture, regulatory documents and Internet sources on the digital transformation of occupational medicine, state IT platforms, the architecture of interdepartmental, interdisciplinary information interaction of IT systems, the formation of large user data, the use of risk management in functional personalized 4P medicine is presented. The principles of the formation of a unified information and analytical system “Occupational Medicine” are described.

The one-loop gluon-W-meson amplitude is calculated by means of the gauge-invariant generalized Pauli–Villars regularization and with the help of dimensional regularization. It is shown that in the former case the amplitude satisfies generalized Ward identities, whereas in the latter case the amplitude differs from the former by the constant.