Laura Verga Laura Verga

Making AI Trustworthy: The importance of explainability in healthcare

In healthcare, accuracy alone is not enough — AI must also explain its reasoning. At RespiQ, we build interpretable AI for breath analysis that traces every prediction back to scientifically meaningful molecular features. By transforming complex sensor data into transparent, clinically validated insights, we enable physicians, regulators, and patients to trust not just the result, but the reasoning behind it.

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Laura Verga Laura Verga

From breath to better care: Shaping the future of COPD monitoring

COPD patients and clinicians see clear promise in breath-based remote monitoring: a new LUMC study highlights how RespiQ’s non-invasive breath analysis could fit in an effort to enable earlier detection of flare-ups, supporting proactive care through technology co-created with patients and healthcare professionals.

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Laura Verga Laura Verga

How AI powers breath analysis at RespiQ

RespiQ uses AI and advanced spectroscopy to detect disease-related molecules in human breath at parts-per-billion levels. Through tight collaboration between experimental and data science teams, we’re overcoming long-standing challenges in breath biomarker detection and moving toward a future of reliable, continuous health monitoring.

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