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Allergic Reactions02:06

Allergic Reactions

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Related Experiment Video

Updated: May 13, 2026

Extraction of Venom and Venom Gland Microdissections from Spiders for Proteomic and Transcriptomic Analyses
10:25

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Published on: November 3, 2014

Response to venom immunotherapy: Exploratory retrospective machine learning clustering analysis.

Stefano Palazzo1,2,3, Marcello Albanesi2,3,4,5, Mattia Cristallo6

  • 1Department of Engineering and Sciences, Universitas Mercatorum, Rome, Italy.

The Journal of Allergy and Clinical Immunology. Global
|March 4, 2026
PubMed
Summary

Hymenoptera venom immunotherapy effectively reduces allergic reactions, decreasing wheal size and specific IgE levels. Machine learning analysis of clinical data supports personalized allergy management strategies.

Keywords:
Hymenopteraartificial intelligenceimmunotherapyintradermal reactionsk-means clusteringmachine learningsemiautomated methodskin testspecific IgEwheal surface area

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Area of Science:

  • Allergy and Immunology
  • Computational Biology

Background:

  • Hymenoptera venom immunotherapy is a standard treatment for severe allergic reactions.
  • Current diagnostic methods like skin tests and IgE quantification have limitations in precision and capturing complex clinical data.

Purpose of the Study:

  • To investigate the relationship between wheal surface area, specific IgE levels, and patient age in Hymenoptera venom allergy.
  • To assess the effects of immunotherapy on these parameters before and after treatment.

Main Methods:

  • Retrospective analysis of data from 30 patients undergoing intradermal testing.
  • Semiautomated method (SAM) for wheal surface area measurement and immunoassays for specific IgE.
  • Application of k-means clustering with data normalization for integrated analysis and subgroup identification.

Main Results:

  • A positive correlation between wheal surface area and specific IgE was observed, with both decreasing post-immunotherapy.
  • Patient age did not significantly influence the allergic response.
  • Clustering identified two patient profiles: 'response' and 'partial response', correlating with clinical improvement.

Conclusions:

  • Hymenoptera venom immunotherapy is effective in reducing allergic responses, evidenced by decreased wheal size and IgE levels.
  • The integration of SAM and machine learning provides a robust approach for analyzing clinical data.
  • This integrated method supports the development of personalized allergy management plans.