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Artificial Intelligence and Machine learning in Immunology

Machine learning (ML) and artificial intelligence (AI) are increasingly being used in immunology to analyze intricate datasets, predict immune responses, and develop novel therapies. T cell receptor (TCR) and B cell receptor (BCR) high-throughput sequencing data are analyzed using AI algorithms. Insights into immune diversity and responses to pathogens or vaccines are provided by ML techniques, which categorize and quantify clonotypes within immune repertoires. AI and machine learning have a lot of potential to change immunology by speeding up research, making diagnostics better, and making personalized treatments work best.

  •     Data Analysis and Integration:
  •     Drug Discovery and Development
  •     Immunogenomics:
  •     Vaccine Design and Optimization
     
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