A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Understanding Adaptive Immune System as Reinforcement Learning
The adaptive immune system of vertebrates can detect, respond to, and memorize diverse pathogens from past experience. While the selection of T helper (Th) clones is the simple and established mechanism to recognize and memorize new pathogens, the question that still remains unexplored is how the Th cells can acquire better ways to bias the responses of immune cells for eliminating pathogens more efficiently by translating the recognized antigen information into regulatory signals. In thisdoi:10.1101/2020.01.31.929620 fatcat:boxvqth7pfdxdcffhhsqcvuqtm