
The PROFILE.net (PROgressive Fibrosing Lung diseasEs.network) clinical research collaboration was launched by the European Respiratory Society (ERS) in 2022. Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50 years. As modern medicine is evolving towards precision medicine, offering personalised patient care and treatment, the need for robust imaging biomarkers has gradually increased in the particular field of interstitial lung diseases (ILDs).
Exploring new reliable quantification tools is a growing matter of interest.
PROFILE.net seeks to connect clinicians, scientists and experts in the fields of progressive fibrosing ILD (pf-ILD) and AI to redefine typical ILD patterns in order to improve and develop clinical decision support systems, which are highly necessary in the evaluation of ILDs.
PROFILE.net aims to build a collaborative and lively academic network that will focus on the development of imaging-based diagnosis and prognosis models of pf-ILD which would then tend to stimulate and support research proposals focusing on new evaluation models.
More specifically, the objectives of this CRC are to:
To achieve those aims, five work packages have been composed:
PROFILE.net has an eight-member steering committee, including a scientific manager and composed of clinician researchers, experts in translational research, young investigators and patient representatives.
If you would like more information about PROFILE.net or would like to join the network, please contact scientific@ersnet.org.
Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients
Guiot J, Henket M, Gester F, André B, Ernst B, Frix AN, Smeets D, Van Eyndhoven S, Antoniou K, Conemans L, Gote-Schniering J, Slabbynck H, Kreuter M, Sellares J, Tomos I, Yang G, Ribbens C, Louis R, Cottin V, Tomassetti S, Smith V, Walsh S L.F. Respir Res 26, 39. Published Jan 24, 2025. https://doi.org/10.1186/s12931-025-03117-9