Full Professor (W3) of T Cell Immunology in Full time, Professor, Health Science with Medizinische Fakultät der Eberhard Karls Universität Tübingen. Apply Today.
Many countries have entered the second/third waves of COVID-19. Therefore, we need to come up with ways toward uniform strengthening of adaptive immune response to fight off this pandemic. Also, to develop and maintain constant resistance to severe acute respiratory syndrome coronavirus (SARS-CoV-2), the mentioned weakened links in the chain of adaptive immunity may be explored to keep viral invasion and physiological damage to minimum.
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IMAGE: Researchers at The University of Tokyo use the mathematics of adaptive learning and artificial intelligence to describe how T helper cells adjust the response of the vertebrate immune system, which. view more
Credit: Institute of Industrial Science, the University of Tokyo
Tokyo, Japan - Scientists from the Institute of Industrial Science at The University of Tokyo demonstrated how the adaptive immune system uses a method similar to reinforcement learning to control the immune reaction to repeat infections. This work may lead to significant improvements in vaccine development and interventions to boost the immune system.
In the human body, the adaptive immune system fights germs by remembering previous infections so it can respond quickly if the same pathogens return. This complex process depends on the cooperation of many cell types. Among these are T helpers, which assist by coordinating the response of other parts of the immune system called effector
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