The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention.
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Artificial immune systems (AIS) are intelligent algorithms derived from the principles inspired by the human immune system. In this study, electroencephalography (EEG) signals for four distinct motor movements of human limbs are detected and classified using a negative selection classification algorithm (NSCA
Yes, artificial intelligence (AI) techniques can be used in immunology to analyze and interpret large amounts of data, such as genetic sequences and protein structures. AI can be used to identify patterns and correlations in this data that may not be easily visible to the human eye, and to make predictions about how the immune system will respond to different stimuli. For example, AI can be used to predict the likelihood of an individual developing a specific autoimmune disorder or to identify potential targets for immune-based therapies. AI can also be used to analyze the results of immunological experiments and to develop new computational models for studying the immune system.
Yes, AI would be crucial in Immunology in the future. Especially in predicting MHC protein structures that can present specified antigens to aid Chemotherapeutic and Immunotherapeutic development!
You may find of interest my (slowly) ongoing project (here on RG) addressing the use of AI to model and generalize the human immune system. There is some detail.
I am a longtime AI researcher and also a survivor (just) of an MG crisis in 2019, so I have a deep interest in this topic!