Personalized medicine and drug hypersensitivities

被引：0
作者：
Chiriac, A. M. [1 ,2 ]
机构：
[1] Ctr Hosp Univ Montpellier, Dept Pneumol & Addictol, Praticien Hosp, Unite Explorat Allergies, Montpellier, France
[2] Univ Montpellier, IDESP INSERM, Montpellier, France
来源：
REVUE FRANCAISE D ALLERGOLOGIE | 2020年 / 60卷 / 08期
关键词：
Drug allergy; Machine learning; Personalized medicine; Quality of life; Risk stratification; ALLERGY; PHOLCODINE; CHILDREN; TESTS;
D O I：
暂无
中图分类号：
R392 [医学免疫学];
学科分类号：
100102 ;
摘要：
Personalized medicine is supposed to tailor actions of prevention and treatments to individual patient data. Personalized medicine is a challenge in the drug allergy/hypersensitivity field. If most interventions in drug allergy work-up have long been quite empirical (the patients being therefore tested more or less in the same way), the last decade has brought to light a bulk of data ensuing better risk stratification of patients. Therefore, changes occur in all fields of the so-called 6P medicine: personalized, preventive, predictive, based on proofs, participative and taking into account the patient's medical pathway. This paper addresses some of these changes, in order to bring to light recent progress in drug allergy work-up. (C) 2020 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码：21 / 25
页数：5
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