Vibrome® is Level 42 AI’s framework for capturing and interpreting physiological signals such as mechanical, acoustic, vibrational and flow-related activity produced by living systems.

Level 42 AI® describes using broad-band sensor fusion to collect audible, inaudible and other physiological signals. The selected sensors and scan workflow depend on the product, environment and intended use.

Sensor fusion combines information from more than one sensing method or signal source. Level 42 AI® presents it as a way to capture a broader view of physiological activity and support interpretable analysis.

Interpretable data and algorithms are designed to make the relationship between collected signals and reported information understandable to users and care teams. The appropriate interpretation depends on the system configuration and clinical context.

No. Vibrome® is presented as a health-information and monitoring technology. Any diagnosis, treatment decision or urgent health concern should be assessed by appropriately qualified healthcare professionals using all relevant clinical information.

Level 42 AI® uses this phrase to describe data collections built from biosignature signals that may be difficult to capture with conventional instruments. Their usefulness depends on data quality, governance, algorithm development and validation for a specific use case.

Yes. Level 42 AI® describes broad-band sensing that can include audible signals as well as infrasonic and ultrasonic activity outside ordinary human hearing. The captured range depends on the sensor configuration.

Vibrome® can include patterns associated with mechanical movement, airflow, blood flow and other physiological activity. Interpretation requires an appropriate collection method and a validated algorithm for the intended use.

A digital representation organizes selected biosignature measurements and changes over time. It can support longitudinal review, but it is not a complete replica of a person and should not be treated as a diagnosis by itself.

Repeated measurements can help users compare biosignature patterns over time. Meaningful interpretation depends on consistent data collection, suitable reference information and professional review where clinically appropriate.