ABSTRACT
Artificial intelligence is being used in many immunological fields for its analytic abilities, antigen and phenotype detection, predicting prognosis and treatment outcomes, etc. Algorithms have been developed to predict the outcome of interactions and classification at molecular levels. Machine learning can predict genotypes associated with poor prognosis. Adaptive immunity is more vigorous than the innate form and control of its intensity and duration is poorly understood with genetic predisposition and three specific mechanisms believed to be interrelated. Acute inflammation is an efficient, though non-specific immunopathological defense mechanism of the adaptive immune system that produces an observable clinical response referred to as the “inflammatory cascade.” Acute inflammation can occur anywhere, internally or externally producing the inflammatory cascade. Topical and systemic corticosteroids are used to mitigate signs and symptoms in more acute inflammatory reactions. Cellular frustrated models can describe how the adaptive immune system works.
