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.
机构:
British Columbia Canc Agcy, Canadas Michael Smith Genome Sci Ctr, Vancouver, BC V5Z 4S6, CanadaBritish Columbia Canc Agcy, Canadas Michael Smith Genome Sci Ctr, Vancouver, BC V5Z 4S6, Canada
Li, Yvonne Y.
Jones, Steven J. M.
论文数: 0引用数: 0
h-index: 0
机构:
British Columbia Canc Agcy, Canadas Michael Smith Genome Sci Ctr, Vancouver, BC V5Z 4S6, CanadaBritish Columbia Canc Agcy, Canadas Michael Smith Genome Sci Ctr, Vancouver, BC V5Z 4S6, Canada