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His research has focused upon the origins and natural history of asthma and allergy across the life-course, with an emphasis on prevention and translation for patient benefit. His research findings are of great practical significance, and have informed and changed national and international guidelines on asthma prevention and management. His studies in food allergy substantially impacted clinical practice. His discovery that IgE-response to peanut allergen Ara h 2 is much more predictive of true peanut allergy than standard tests using whole allergen extract marked the start of the component-resolved diagnostics as the new gold standard in clinical practice.
He pioneered the use of data-driven methodologies in the analysis of complex data, including the first use of machine learning in respiratory medicine/allergy. To gain more from birth cohorts across the UK, he led a multidisciplinary MRC-funded STELAR consortium, combining the world-leading expertise in birth cohorts with statistical machine learning and health informatics. This effort enabled the discovery of latent subtypes of childhood asthma, allergies, and developmental patterns of lung function from pre-school age to early adulthood. He currently leads MRC UNICORN programme which integrates birth cohorts with patient cohorts and randomised controlled trials for joint analyses, offering opportunity for a step change in understanding mechanisms underlying different asthma endotypes.
He pioneered the use of data-driven methodologies in the analysis of complex data, including the first use of machine learning in respiratory medicine/allergy. To gain more from birth cohorts across the UK, he led a multidisciplinary MRC-funded STELAR consortium, combining the world-leading expertise in birth cohorts with statistical machine learning and health informatics. This effort enabled the discovery of latent subtypes of childhood asthma, allergies, and developmental patterns of lung function from pre-school age to early adulthood. He currently leads MRC UNICORN programme which integrates birth cohorts with patient cohorts and randomised controlled trials for joint analyses, offering opportunity for a step change in understanding mechanisms underlying different asthma endotypes.
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The Lancet Child & Adolescent Health (2024)
CLINICAL AND EXPERIMENTAL ALLERGY (2024)
ALLERGY (2024)
The Lancetno. 10435 (2024): 1494-1503
ECLINICALMEDICINE (2024): 102355-102355
EClinicalMedicine (2024): 102355
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