Artificial Intelligence in Predicting Adaptive Immune Responses

Bwanbale Geoffrey David

Faculty of Pharmacy Kampala International University Uganda

ABSTRACT

The adaptive immune system plays a critical role in recognizing and responding to pathogens, and its responses can vary significantly among individuals. The ability to accurately predict adaptive immune responses is vital for developing effective vaccines, therapies, and diagnostics. Recently, artificial intelligence (AI) has emerged as a powerful tool in immunology, offering innovative approaches to predict adaptive immune responses based on vast datasets of immunological information. This review explores the role of AI in predicting T cell and B cell responses, highlights various AI techniques used in immunology, discusses the challenges and limitations faced, and examines future directions in this promising field. The integration of AI with immunological research holds the potential to revolutionize our understanding of immune responses and enhance personalized medicine strategies.

Keywords: Adaptive immunity, artificial intelligence, immune response prediction, machine learning, immunoinformatics, T cells, B cells

CITE AS: Bwanbale Geoffrey David (2024). Artificial Intelligence in Predicting Adaptive Immune Responses. INOSR Experimental Sciences 14(2):17-22. https://doi.org/10.59298/INOSRES/2024/142.172200