Evaluation of air pollution and climate changes on chronic inflammatory diseases through artificial neural networks analysis: a proposal for a multi-omics approach in chronic inflammatory diseases studies

Autori

  • Rosa Musotto Consiglio Nazionale delle Ricerche CNR https://orcid.org/0000-0002-6956-167X
  • Alessandro Tonacci Consiglio Nazionale delle Ricerche (CNR)
  • Giovanni Pioggia Consiglio Nazionale delle Ricerche (CNR)
  • Sebastiano Gangemi Università degli Studi di Messina

DOI:

https://doi.org/10.1478/AAPP.103S1A10

Parole chiave:

Artificial Intelligence, Air pollution, Climate change, Chronic inflammatory diseases

Abstract

Recent scientific evidence highlight the negative effects that air pollution and climate change have on human health. In the present review contribution, it will be shown how by means of Artificial Intelligence it is possible to correlate climate change, air pollution and chronic inflammatory diseases through cause-effect relationships. From the present study it clearly emerges that the implementation of machine learning algorithms, together with the development of specific models, may constitute a very powerful tool in early diagnosis, monitoring and treatment of chronic inflammatory disease and, hence, in assisting governments in adopting the best practices for pollutants reduction strategies.

Biografie autore

  • Rosa Musotto, Consiglio Nazionale delle Ricerche CNR
    Istituto per la Ricerca e l'Innovazione Biomedica(IRIB)  Via Vincenzo Leanza Istituto Marino di Mortelle, 98164 Messina
  • Alessandro Tonacci, Consiglio Nazionale delle Ricerche (CNR)
    Istituto di Fisiologia Clinica (IFC) Via Moruzzi 1, 56124, Pisa
  • Giovanni Pioggia, Consiglio Nazionale delle Ricerche (CNR)
    Istituto per la Ricerca e l'Innovazione Biomedica(IRIB) Via Vincenzo Leanza Istituto Marino di Mortelle, 98164 Messina
  • Sebastiano Gangemi, Università degli Studi di Messina
    Dipartimento di Medicina Clinica e Sperimentale (DIMED),Via Consolare Valeria-Gazzi, 98125, Messina

Dowloads

Pubblicato

2025-10-01

Fascicolo

Vol 103, SUPPL NO 1 (2025): Atmospheric Monitoring, Modeling and Simulation

Sezione

Atmospheric Monitoring, Modeling and Simulation (Conference Proceedings)

Licenza

Creative Commons License
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