Brainomix 360

Clinical Evidence

Explore peer-reviewed studies validating e-Lung’s performance and value, published by international academic groups. Brainomix products have been rigorously tested across diverse clinical settings—find the evidence here.

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Baseline quantitative CT predicts rate of decline in forced vital capacity and clinically relevant outcomes in patients with progressive pulmonary fibrosis: results from the INBUILD trial

May 21, 2025

Effect of Nintedanib on Quantitative CT in Patients With Progressive Pulmonary Fibrosis: Results From the Inbuild Trial

May 21, 2025

Predictive Power of the e-Lung Weighted Reticulovascular Score for Mortality in Progressive Pulmonary Fibrosis

September 29, 2025

e-Lung Detects Progressive Pulmonary Fibrosis Earlier Than Conventional Tools: Insights from the REVISE-PPF Multicentre Study

September 29, 2025

Clinical Evidence

Evaluation of Lung Volume Reduction in Patients with Interstitial Lung Disease Using Brainomix e-Lung (1)

Evaluation of Lung Volume Reduction in Patients with Interstitial Lung Disease Using Brainomix e-Lung

e-Lung CT biomarkers are associated with outcomes in fibrotic interstitial lung diseases

e-Lung computed tomography biomarkers are associated with outcomes in fibrotic interstitial lung diseases

Predictive Power of the e-Lung Weighted Reticulovascular Score for Mortality in Progressive Pulmonary Fibrosis

e-Lung Detects Progressive Pulmonary Fibrosis Earlier Than Conventional Tools: Insights from the REVISE-PPF Multicentre Study

Phase 2 study design and analysis approach for BBT-877: an autotaxin inhibitor targeting idiopathic pulmonary fibrosis

Baseline quantitative CT predicts rate of decline in forced vital capacity and clinically relevant outcomes in patients with progressive pulmonary fibrosis: results from the INBUILD trial

Effect of Nintedanib on Quantitative CT in Patients With Progressive Pulmonary Fibrosis: Results From the Inbuild Trial

e-Lung Biomarkers Are Associated with Future Progressive Pulmonary Fibrosis Independent of UIP Status on CT

A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease

Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis

e-Lung CT Biomarkers Can Stratify Patients at Risk of IPF Progression at 52 Weeks; Post-hoc Analysis From a Randomised Control Trial

e-Lung Computed Tomography Biomarker Stratifies Patients at Risk of Idiopathic Pulmonary Fibrosis Progression in a 52-Week Clinical Trial

Novel e-Lung CT biomarkers combine to provide higher prognostic discrimination than FVC in patients with non-IPF fibrotic interstitial lung disease.

The automated e-Lung CT algorithm is more prognostic than lung function in patients with non IPF fibrotic ILD; a validation study

In the Serial Assessment of Patients With Idiopathic Pulmonary Fibrosis, the Automated E-ILD CT Algorithm Outperforms Lung Function; a Validation Study

Performance and Reproducibility of a Deep-learning Derived Automated Algorithm to Detect, Segment and Measure Lung Cancer Lesions on Computed Tomography Scans

The Brainomix automated e-ILD CT algorithm outperforms forced vital capacity in predicting outcomes for patients with idiopathic pulmonary fibrosis