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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Veröffentlicht in:Allergy (Copenhagen) Jg. 78; H. 7; S. 1742 - 1757
Hauptverfasser: 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
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Denmark Blackwell Publishing Ltd 01.07.2023
Wiley
Schriftenreihe:The EAACI Hybrid Congress 2023
Schlagworte:
ISSN:0105-4538, 1398-9995, 1398-9995
Online-Zugang:Volltext
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