TruaceTracing the truth around AIWednesday, August 5, 2026
TRV-2026-0616Certified recordPeer-reviewed

Harnessing Exhaled Breath for Lung Cancer Early Detection-Results From the ExPeL Study

Scalable, non-invasive tools are critically needed to improve early lung cancer detection and optimize primary care referral pathways. We evaluated Inflammacheck, a point-of-care device utilizing exhaled breath condensate (EBC) H 2 O 2 and physiological parameters with machine learning for non-invasive lung cancer detection in a real-world screening population. Exhaled Hydrogen Peroxide for Early Lung Cancer Detection (ExPeL) study participants, from the UK Targeted Lung Health Check (TLHC) programme, included i…

Health · G Space — documented gain · certified 2026-08-01 · v1 · article view · machine-readable

Current reading — gain

A point-of-care exhaled breath condensate device combined with physiological parameters and ensemble machine learning identified early-stage lung cancer in a real-world screening cohort with 85.7% accuracy and 100% specificity on held-out test data.

What this doesn’t fix

Findings are based on a small cohort of 34 participants with valid EBC data, limiting generalizability to broader screening populations.

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Truvace Impact Record TRV-2026-0616, v1: “Harnessing Exhaled Breath for Lung Cancer Early Detection-Results From the ExPeL Study.” Truvace, 2026-08-01. /record/TRV-2026-0616 (accessed at citation time). sha256 b51f171aae0cb3f7

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