Learning to Fight Infection - Institute of Industrial Science, the University of Tokyo

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Learning to Fight Infection
Learning to Fight Infection

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Researchers at The University of Tokyo found that analyzing short amino acid segments from T-cells could improve machine learning algorithms that predict the infection history of the donor. Based on the performance comparison using multiple diseases and sample size, the resulting algorithm could outperform existing solutions on smaller datasets. This work may enable a wider range of rare diseases to be diagnosed by future immunological blood testing.

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