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 E-Mail 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

Tetsuya kobayashiTakuya katoUniversity of tokyoInstitute of industrial scienceIndustrial sciencePhysical review researchAdaptive immune systemReinforcement learningTechnology engineering computer scienceBiomedical environmental chemical engineeringComputer scienceSoftware engineeringTheory designIndustrial engineering chemistryNanotechnology micromachinesResearch development