Brain neural network, development, microbiome, microbial toxins and COVID-19

Ali Samrezaee, Maryam Doustmehraban, Naimeh Ghadimi, Sedigheh Bahador, Arash Barghi, Erfan Ghanbarzadeh, Amir Rigi, Mojtaba Hedayati Ch, Atiyeh Kimiaeifar

Abstract


Although almost 2 years have passed since the beginning of the coronavirus disease 2019 (COVID-19) pandemic in the world, there is still a threat to the health of people at risk and patients. Specialists in various sciences conduct various researches in order to eliminate or reduce the problems caused by this disease. Neural network science plays a vital role in this regard. It is important to note the key points of neuro-microbial involvement in the diagnosis and management of COVID-19 therapy by physicians and patients whose nervous systems are challenged. The relationship between COVID-19, microbiome and the profile of microbial toxins in the body is one of the factors that can directly or indirectly play a key role in the body's resistance to Covid-19 and changes in the neural network of the brain. In this article, we introduce the relationship and behavioral and mood problems that can result from neuronal changes. In linking the components of this network, artificial intelligence (AI), machine learning (ML) and data mining (DM) can be important strategies to assist health providers to choose best decision based on patient’s history. 


Keywords


COVID-19; Brain; Neural network; Microbial toxins; Machine learning

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References


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DOI: https://doi.org/10.52547/jcbior.3.1.14

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