Food allergy severity prediction: quite a way to go yet?

Alexandra F. Santosa Department of Women and Children’s Health (Paediatric Allergy), School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK;b Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK;c Children’s Allergy Service, Evelina London, Guy’s and St Thomas’ Hospital, London, UK;d Asthma UK Centre in Allergic Mechanisms of Asthma, London, UKCorrespondence[email protected]

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Declaration of interest

A. F Santos has received funding from the Medical Research Council (MRC Clinician Scientist Fellowship MR/M008517/1), Asthma UK and the Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre award to Guy’s & St Thomas’ NHS Foundation Trust in partnership with King’s College London and King’s College Hospital NHS Foundation Trust; and personal fees from Thermo Scientific, Nutricia, Infomed, Novartis, Allergy Therapeutics, Buhlmann, as well as research support from Buhlmann and Thermo Scientific through collaboration agreements with King’s College London. The author has no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

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Food allergy severity prediction: quite a way to go yet?

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