Imagine a future where a deep breath could warn you of lung cancer before it appears on a scan. Where a single exhalation could help your doctor stop pneumonia before it starts.

That future isn’t far away—and machine learning is helping to bring it into focus.

At Breath Diagnostics, we believe the breath holds secrets about our health that conventional diagnostics have long overlooked. And with the help of advanced mass spectrometry (MS) and machine learning (ML), we’re learning to finally listen.

A Language Hidden in Breath

Every time we exhale, we release a mix of volatile organic compounds (VOCs)—small chemicals that reflect the metabolic processes happening throughout our body. Certain diseases, like lung cancer or pneumonia, shift these chemical patterns. Subtle changes in VOC levels can give a warning before symptoms ever emerge.

The challenge? These patterns are often too complex to see with the naked eye—or even with traditional analysis. But for machine learning, complexity is an opportunity.

By feeding MS breath data into ML models, we can train algorithms to recognize the unique VOC “fingerprints” of disease. In pilot studies, these models have detected early-stage lung cancer with over 80% accuracy. In another case, the presence of four specific compounds in breath helped predict pneumonia before it developed—days before clinical signs appeared.

In other words, the computer didn’t just detect illness. It anticipated it to allow for quick actions.

Rewriting the Rules of Detection

Traditional breath analysis using gas chromatography–mass spectrometry (GC-MS) can be powerful—but slow. It often requires multiple breaths, sample heating, and 30–60 minutes of processing time. That’s a bottleneck we’ve worked hard to eliminate.

Our OneBreath™ platform uses a patented derivatization approach that stabilizes VOCs instantly—no heat required—and sends them through ultra-high-performance liquid chromatography (UHPLC-MS). The result? Actionable data from just one breath, in under 10 minutes.

This speed opens new possibilities. It makes room for real-time diagnostics, point-of-care screening, and higher patient compliance. It means less time waiting and more time acting.

The AI Advantage

Machine learning amplifies this impact. It turns our detailed chemical data into precise diagnostic signals—spotting patterns across dozens of compounds. It doesn’t just analyze. It learns, improves, and adapts over time.

What’s more, it helps us discover new biomarkers. By showing us which VOCs carry the most weight in disease prediction, ML points the way to better-targeted, more efficient diagnostics. And the more data we feed it, the more powerful it becomes.

A Breath Ahead

Breath Diagnostics isn’t just building faster MS platforms. We’re building a smarter diagnostic ecosystem—where the combination of chemical insight and computational intelligence brings us closer to catching diseases earlier, safer, and more affordably.

We believe in a future where lung cancer doesn’t have to hide in the shadows. Where pneumonia can be predicted—not just treated. Where every breath is a window into your well-being.

And that future? With the help of AI, it’s getting closer.

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