EAACI guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics

Allergic diseases and asthma are intrinsically linked to the environment we live in and to patterns of exposure. The integrated approach to understanding the effects of exposures on the immune system includes the ongoing collection of large‐scale and complex data. This requires sophisticated methods...

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Vydané v:Allergy (Copenhagen) Ročník 78; číslo 7; s. 1742 - 1757
Hlavní autori: Shamji, Mohamed H., Ollert, Markus, Adcock, Ian M., Bennett, Oscar, Favaro, Alberto, Sarama, Roudin, Riggioni, Carmen, Annesi‐Maesano, Isabella, Custovic, Adnan, Fontanella, Sara, Traidl‐Hoffmann, Claudia, Nadeau, Kari, Cecchi, Lorenzo, Zemelka‐Wiacek, Magdalena, Akdis, Cezmi A., Jutel, Marek, Agache, Ioana
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Denmark Blackwell Publishing Ltd 01.07.2023
Wiley
Edícia:The EAACI Hybrid Congress 2023
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ISSN:0105-4538, 1398-9995, 1398-9995
On-line prístup:Získať plný text
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