Machine Learning to Identify Novel Serum Biomarkers in Lymphangioleiomyomatosis - Vienna 2024

Advances in clinical practice for rare interstitial lung diseases: from research to the real world

Chair(s): Pilar Rivera Ortega, Cormac McCarthy

Session type: Oral presentation

Machine Learning to Identify Novel Serum Biomarkers in Lymphangioleiomyomatosis

Nicholas Mc Carthy

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Late Breaking Abstract - Bexotegrast reduces type 1 collagen deposition in participants with idiopathic pulmonary fibrosis (IPF) after 12 weeks of therapy

Sydney B. Montesi

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Poster

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Inhaled GM-CSF Reduces the Need for Whole Lung Lavage (WLL) and Improves Gas Exchange in Autoimmune Pulmonary Alveolar Proteinosis (aPAP) Patients

Ilaria Campo

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Poster

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DIPNECH: An International Case Series

Marissa O'callaghan

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Comparison of clinical and radiological features of lung involvement between IgG4-related disease and idiopathic multicentric Castleman disease

Jiamin Zhou

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Poster

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Characteristics and clinical course of lymphangioleiomyomatosis (LAM) in patients treated with sirolimus in France

Vincent Cottin

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Poster

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Machine Learning to Identify Novel Serum Biomarkers in Lymphangioleiomyomatosis

Nicholas Mc Carthy

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French cohort RADICO-ILD2 (FIFA): Asymptomatic manifestations in relatives of patients carrying telomere-related gene variants

Rapha Borie

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Poster

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From body composition to pulmonary fat attenuation volume: evaluation of new CT-based biomarkers to predict the overall survival in patients with non-specific interstitial pneumonia (NSIP).

Francesco Bonella

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Poster

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Childrens ILDs survivors in adulthood: a European Study

Effrosyni D. Manali

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Poster

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Nintedanib in children and adolescents with fibrosing ILDs: interim analysis of InPedILD-ON

Matthias Griese

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Discussion and Q&A

CDN Connection Issue

The ERS Congress 2024, Vienna

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