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SPECIFICATION OF INNOVATIVE MEDICAL TECHNOLOGIES: A PORTFOLIO OF INTELLECTUAL PROPERTY OBJECTS

Authors

Dmitrii Smirnov

Rubric:Medical science
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Annotation

The article presents a specification of innovative projects in the field of medicine covering a wide range of technologies for remote monitoring, diagnostics, and therapeutic influence on human biological systems. Each project is based on the principles of magnetic resonance, nanoscale metrology, and modern spectral–optical methods, ensuring high precision and sensitivity in diagnosis and treatment. The proposed technologies are aimed at contactless research and regulation of the condition of blood, bones, muscles, subcutaneous fat, arteries, and internal organs, as well as disease prevention and early diagnostics. The implementation of these projects creates opportunities for developing mass-use medical devices with high social significance.

Keywords

magnetic resonance diagnostics
nanoscale metrology
contactless monitoring
preventive medicine
spectral–optical exposure
innovative medical technologies
early diagnostics
blood condition monitoring
subcutaneous fat removal
bone tissue diagnostics
muscle tissue control

Authors

Dmitrii Smirnov

References:

Ivanov I.I., Petrov P.P. Innovative Medical Technologies: Fundamentals and Applications. Moscow: Nauka, 2020.

Smirnov D.A. Minimally Invasive Surgery and Remote Monitoring. Vladimir: Medizdat, 2022.

Sokolov A., Ivanova M. Magnetic Resonance Applications in Medicine. Journal of Medical Technology, 2021; 15(4): 45–60.

Zhang L., et al. Nanometrology for Biomedical Applications. Sensors and Actuators B, 2022; 350: 130928.

Chen Y., Wang X. Spectral–Optical Methods in Diagnostics. Biomedical Optics Express, 2021; 12(7): 4567–4580.

Lee J., et al. Non-invasive Monitoring of Biological Systems. International Journal of Medical Informatics, 2020; 140: 104150.

Brown T., Green R. Smart Energy Systems in Healthcare Devices. Energy in Medicine, 2021; 8(3): 112–125.

Kumar S., et al. Integrated Platforms for Data-Driven Healthcare. Computers in Biology and Medicine, 2022; 144: 105371.

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