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Experimental immunologists in the era of artificial intelligence

Yiquan Wang1, Wenhao O Ouyang2, Chaoyang Wang3

  • 1Department of Infectious Disease and Immunology, University of Florida, Gainesville, FL 32608, USA.

Trends in Immunology
|March 19, 2026
PubMed

While artificial intelligence (AI) is transforming biological science, its full potential in immunology has yet to be realized due to limited data and the need for extensive experimental validation. This review provides a practical guide for experimental immunologists to actively contribute to AI development, with a focus on applications for B- and T-cell receptors. It not only gives an overview of common AI techniques in immunology but also highlights the important role of high-throughput experimental methodologies. Overall, we believe that the synergy between AI and experimental innovation will be a crucial catalyst for advancing the field of immunology.

Keywords:
B- and T-cell receptorsartificial intelligencehigh-throughput screening

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