Data from Brainomix’s collaboration with AstraZeneca shows its AI-powered e-Lung better identifies lung fibrosis patients at risk of decline 

Data from Brainomix’s collaboration with AstraZeneca shows its AI-powered e-Lung better identifies lung fibrosis patients at risk of decline 

Brainomix, the AI-powered MedTech company, has announced the publication of a new study in the prestigious peer-reviewed journal American Journal of Respiratory and Critical Care Medicine (AJRCCM), resulting from a research collaboration AstraZeneca, a UK-leading Biopharmaceutical company. 

The results showed that Brainomix e-Lung, an AI-enabled automated CT processing software, stratifies patients at risk of IPF progression, outperforming standard measures, and demonstrating e-Lung’s potential role in improving efficiency of future clinical trials. 

The study was an analysis of AstraZeneca’s Phase 2 52-Week clinical trial of tralokinumab in patients with Idiopathic Pulmonary Fibrosis (IPF). The patient data from the trial was processed with Brainomix’s e-Lung tool. The tool is uniquely powered by the weighted reticulovascular score (WRVS), a novel biomarker that incorporates reticular opacities and vascular structures of the lung. 

Dr Peter George, lead author on the publication, Senior Medical Director at Brainomix, and Clinical Lead for ILD at Royal Brompton Hospital in London, said: “In this analysis of AstraZeneca’s IPF clinical trial, we have shown that from a single baseline CT scan, WRVS is able to identify patients at risk of decline in Forced Vital Capacity (FVC) over the next 52 weeks, outperforming standard measures. This data suggests that the e-Lung WRVS tool may allow for enrichment of clinical trials with progressive patients, could identify patients at low risk of IPF progression, might facilitate well-matched treatment arms and could reduce the size of future clinical trials.” 

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