3D-BIOPRINTING AND DEVELOPMENT OF THE DENTAL IMPLANTATION CLASSIFICATIONS
Keywords:bioprinting, ЗD-dental implantation, implants, regenerative medicine
Regenerative medicine as an independent branch was formed at the end of the last century. The given scientific direction comprises: cellular technologies, cellular therapy, sub-cellular surgery, targeted therapy, 3D-bioprinting, dental implantology, etc.
Discoveries in the sphere of medical-biological science during the recent thirty years and modern information technologies promoted the development of the regenerative medicine, which occupies leading positions in science. From the point of view of organization-systemic positions the regenerative medicine can be considered as a complex system of scientific-engineering, practical and bioethical measures, which, using the mechanisms of the tissue restoration, regeneration, morphogenesis, available in human organism , is able to regenerate adequately the structures and functions of the injured organ or tissue.
Proteomic studies, research, using cellular technologies, tissue engineering, technology of creating biomaterials, 3D-printing and other modern technologies are referred to the most advanced directions of the regenerative medicine development. However, the availability of numerous classifications creates the information contradiction, when, on the one hand, the more classifications are used, the more information the doctor gets, and on the other hand – the more separate classifications are proposed to the doctor ,the greater is the probability of taking the multivalued decision as a result of the redundant information, which will be different for each specialist, both by the volume and by the content.
The research contains the integrated classification of the means of dental implantation, based on new class of the dental implants-intelligent dental implants and three new classification features, that provided the solution of the information contraction and achieving the information balance, elimination of the multivalued decisions and the redundant information.