Alzheimer’s Disease and Artificial Intelligence: Long-term Personalized Rehabilitation and Medical and Social Support

Abstract

Modern technologies and tools for the rehabilitation of patients with Alzheimer’s disease have many potential applications for the treatment of dementia from diagnosis and evaluation to medical care, medical, social and economic support: from healthy aging, to accelerated and pathological aging of Homo sapiens. Doctor and neuroscientist: a modern solution to problems of rehabilitation ‘cognitive brain’ of Homo sapiens using on the one hand, tools and technologies of artificial intelligence, and with another — a multidisciplinary collaboration with clinical neurophysiologist ‘universal’ specialist in the field of neurology, psychiatry, psychotherapy, psychoanalysis and geriatrics. Systems biology, Biophysics, physiology, neurophysiology and highlight the multidimensional and combinatorial profiles of genetic, biological, pathophysiological and clinical biomarkers that reflects the heterogeneity of neurodegeneration, by means of modern efficient analysis tools to register and create comprehensive maps of the brain and recording of dynamic models in different systems: from molecules to neurons to brain regions. Bioinformatics, neuroimaging and neurophysiology of systems are aimed at calculating neural network models of the relationship between structure and dynamic function in brain networks. Structural and functional markers of the brain establish a link between clinical phenotypes and molecular pathophysiological mechanisms. Phenotypic variability is now considered one of the biggest problems in gerontology and geriatrics. MRI imaging to detect subtle changes in brain tissue and structure, fMRI imaging to measure changes in brain activity, and EEG to measure electrical activity have given clinicians many new insights into what happens in the brain in healthy and pathological aging. The paradigm of system neurophysiology is aimed at studying the fundamental principles of functioning of integrated neural systems through the integration and analysis of neural information recorded in a multimodal way (for example, fMRI and EEG), through computational modeling and combining data mining methods. The ultimate goal of systemic neurophysiology is to find out how signals are represented in neocortical networks and what role many different neural components play. Modern artificial intelligence technologies are capable of many things, including predicting Alzheimer's disease with the help of combined and hybrid neuroimaging, sequencing of a new generation, etc., in order to start timely and effective rehabilitation brain Homo sapiens.