Breathomix


Breathomix is a leader in eNose technology and breath analysis, creating non-invasive diagnostic solutions to advance early disease detection and precision medicine across fields such as cancer, inflammatory, and infectious diseases. Their BreathBase® Solution enables reliable, reproducible analysis of the full spectrum of volatile organic compounds (VOCs) in exhaled breath, driving high-quality research and diagnostics. From hospitals to home care, Breathomix is pioneering accessible breath diagnostics to transform patient care through innovative breath analysis technology.

Industries

medical-device

Products

Cloud-connected electronic-nose device for exhaled-breath VOC profiling

A point-of-care device that directs exhaled air across a cross-reactive MOS sensor array, acquires raw sensor signals during a standardized breath manoeuvre and transmits data in real time to a cloud analytics platform for pattern analysis and reporting.


Services

Cloud analytics and secure data hosting for breath sensor data

Real-time ingestion, processing and storage of raw and processed sensor data; web-accessible dashboards and exportable files for independent analysis; cloud-calibration to harmonize devices and enable pooled model use.

Clinical study support and diagnostic model validation

Operational support for multicenter prospective and real-world studies, including standardized measurement protocols, data collection workflows, and statistical/modeling assistance for generating and externally validating diagnostic and phenotyping models.

Device deployment, calibration and point-of-care integration

Provision of calibrated, cloud-connected breath-sensor devices, deployment support for integration with routine respiratory diagnostics and clinical workflows, and user training to ensure measurement quality and traceability.

Expertise Areas

  • Exhaled-breath analysis (breathomics)
  • Clinical study design and multicenter validation
  • Longitudinal monitoring and frequent-sampling study methods
  • Machine learning and pattern-recognition for composite biomarkers
  • Show More (5)

Key Technologies

  • Cross-reactive MOS sensor arrays for VOC profiling
  • Cloud-based analytics platforms and IoT data ingestion
  • Pattern-recognition algorithms and machine learning
  • Multivariate statistical methods (LASSO, PLS-DA, PCA, logistic regression)
  • Show More (3)

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