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. 2018 Jul 19;9:908. doi: 10.3389/fphys.2018.00908

Figure 1.

Figure 1

(A) Pattern recognition applied to spatial simulations can provide a tool for the classification of various infection phenotypes. Here, differences in bacteria infectivity (red dots, bacteria) and inflammation (yellow gradient, chemokines as surrogates of inflammation) are visualized as different patterns of color in a computer simulation of an infected lung alveolus. (B) Workflow of a gamification-inspired research project in biomedicine, created on the basis of the results from our experience in the hackathon about serious games in lung infection (http://gaminfectionhack.weebly.com). Biomedical and translational researchers contribute biomedical knowledge, on which bioinformaticians build to add the computational model. On this basis, game designers then create a game attractive to the intended audience. The gaming experience of the players is stored and subsequently mined by the bioinformaticians to construct hypotheses such as that on the bacteria phenotypes influencing infection resolution.