Bioinformatics and Artificial Intelligence: Gerontological and Geriatric Components Medical and Social Support for Active Healthy Longevity
Authors: Pyatin V., Kolsanov A., Romanchuk N., Romanov D., Davydkin I., Volobuev A., Sirotko I., Bulgakova S.
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The “cognitive reserve” construct is a set of variables, including intelligence, education, and mental stimulation, that presumably allows the brain to adapt to underlying pathologies, supporting cognitive function despite underlying neural changes. Brain Homo Sapiens also points to resistance to neuropathological damage and can be defined as the ability to optimize or maximize performance through an effective set of neural networks and/or alternative cognitive strategies. Learning in childhood, the level of education and activities for adults — all this independently contributes to the formation of a cognitive reserve. The introduction of biocomputer nanoplatforms and modules consisting of small molecules, polymers, nucleic acids or proteins/peptides, nanoplatforms are programmed to detect and process external stimuli, such as magnetic fields or light, or internal stimuli, such as nucleic acids, enzymes or pH, using three different mechanisms: system assembly, system disassembly or system transformation. Current biocomputer nanoplatforms are invaluable for many applications, including medical diagnostics, biomedical imaging, environmental monitoring, and delivery of therapeutic drugs to target cell populations. The future implementation of systems biology and systems neurophysiology paradigms based on complex analysis of large and deep heterogeneous data sources will be crucial to achieve a deeper understanding of the pathophysiology of Alzheimer’s disease, using current brain-computer and artificial intelligence interface technologies, in order to increase information that can be extracted from preclinical and clinical indicators. Integration of different sources of information will allow researchers to obtain a new holistic picture of the pathophysiological process of the disease, which will cover from molecular changes to cognitive manifestations. The new competencies of psychoneuroimmunoendocrinology and psychoneuroimmunology play a strategic role in interdisciplinary science and interdisciplinary planning and decision-making. The introduction of multi-vector neurotechnologies of artificial intelligence and the principles of digital health care will contribute to the development of modern neuroscience and neuromarketing. Medical and social support for active healthy longevity is possible when synchronizing information systems of medical organizations and social institutions, introducing a single neurophysiological circuit and modern neurointerfaces, a combined and hybrid cluster in the diagnosis, treatment, prevention and rehabilitation of cognitive disorders and cognitive disorders. A key factor in medical and social support is the participation of interdisciplinary business employees and data processing specialists (their support, monitoring), as well as the availability of sufficient staff literacy in data management.