September 9, 2025 - 16:00 BST, 17:00 CEST, 11:00 EDT, 08:00 PDT

This webinar offers a comprehensive exploration of current methodologies in food allergy diagnostics, with a focus on enhancing clinical decision-making and patient care. Participants will be guided through the spectrum of diagnostic tools, beginning with foundational approaches such as skin prick testing and serum-specific IgE measurement, and progressing to more advanced techniques including component-resolved diagnostics (CRD) and the Basophil Activation Test (BAT).

A central theme of the session will be the clinical application of peanut component testing, which has become increasingly important in distinguishing between true allergy and sensitization, and in predicting the severity of allergic reactions. The webinar will also address the interpretation of test results in the context of patient history, cross-reactivity, and risk assessment.

Attendees will benefit from:

  • A review of the mechanisms and principles behind each diagnostic method
  • Comparative insights into test performance, sensitivity, and specificity
  • Case-based examples to illustrate real-world application and clinical decision-making
  • Discussion of emerging trends and future directions in allergy diagnostics

Who should attend?

This educational session is designed for allergists, immunologists, pediatricians, laboratory professionals, and other healthcare providers involved in the diagnosis and management of food allergies.

By the end of the session, participants will be better equipped to choose appropriate diagnostic strategies, interpret complex results, and apply evidence-based practices to improve patient outcomes.

Key learning objectives:

  • Differentiate between key diagnostic methods (e.g., skin prick test, serum-specific IgE, BAT, and component-resolved diagnostics) and describe their respective advantages, limitations, and clinical applications.
  • Interpret component-resolved diagnostic results, particularly in peanut allergy, to assess allergy severity and guide patient management strategies.
  • Apply evidence-based criteria to select the most appropriate diagnostic approach for various clinical scenarios involving suspected food allergies.

Accreditation statement

SelectScience® is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E.® Program. Attendees of these webinars may be entitled to 1.0 ACCENT Continuing Education Credits from the ADLM. Any credit for this activity must be claimed by September 30, 2026. This activity was planned in accordance with ACCENT® Standards and Policies. Verification of Participation certificates are provided to registered participants based on completion of the activity, in its entirety, and the activity evaluation. For questions regarding continuing education, please email education@myadlm.org

Presenters

Prof. Dr. Lucila Camargo Lopes de Oliveira, Ph.D.
Prof. Dr. Lucila Camargo Lopes de Oliveira, Ph.D.

Associate Professor, Division of Allergy and Clinical Immunology, Department of Pediatrics

Federal University of São Paulo, Brazil

Dr. Lucila Camargo Lopes de Oliveira is a pediatrician and associate professor at UNIFESP with expertise in food allergy diagnostics and molecular allergology. She has conducted research and clinical work in Germany and the UK, and contributed to the EAACI guidelines on the diagnosis of IgE-mediated food allergy.
Sarah Thomas
Sarah Thomas

Associate Editor

SelectScience

Register

Note: By completing this form, you will receive a free membership to SelectScience® and The Scientists’ Channel®. SelectScience is a trade organisation, we do not provide services to consumers and membership is for business purposes only. As a member you must provide us with a corporate email address to enable us (and our advertisers and sponsors) to contact you for marketing purposes. You can opt-out of marketing at any time. See our Privacy Policy

(*) denotes required form field(s)

Our registration process uses cookies, by submitting this registration form you agree to our cookie policy.

* Required Fields