精密医学
医学
变应原免疫治疗
重症监护医学
呼吸道过敏
选择(遗传算法)
心理干预
风险分析(工程)
医疗保健
梅德林
过敏
个性化医疗
计算机科学
光学(聚焦)
管理科学
结果(博弈论)
医学物理学
领域(数学)
数字健康
哮喘
数据科学
钥匙(锁)
苯拉唑马布
临床试验
呼吸内科
疾病
替代医学
作者
Antonio Bognanni,Nicolò Valli,Mattia Giovannini,Giovanni Paoletti,Simona Barbaglia,Danilo Di Bona,Enrico Marco Heffler,Giorgio Walter Canonica
标识
DOI:10.1080/14712598.2026.2716844
摘要
INTRODUCTION: Allergen immunotherapy (AIT) is the only treatment for IgE-mediated respiratory allergy that can modify disease progression. Historically, AIT has relied on empirical personalization, based on allergen selection and clinical judgment. However, AIT is now transitioning to a structured, precision-medicine framework to optimize patient selection and treatment strategies by aligning interventions with individual characteristics and response profiles. However, key methodological and implementation challenges must be addressed before precision AIT can be routinely operationalized. AREAS COVERED: This review addresses the evolution of AIT toward a precision medicine framework. Specifically, we discuss emerging strategies and associated challenges to refine the use of AIT, including improved patient characterization, assessment of response trajectories, and treatment optimization through molecular diagnostics, digital health tools, and adjunctive biologic therapies. EXPERT OPINION: AIT has the potential to be an individualized, disease-modifying intervention. To achieve this, the field needs to move beyond 'one size fits all' empirical approaches, toward structured, response-guided strategies supported by multivariable prediction models and patient-centered outcomes. While the current limitations in evidence, outcome measurement, and regulatory frameworks hamper the implementation into actionable pathways, the international community of allergy care should strive to address these challenges and promote a more nuanced evidence-based use of AIT.
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