This research line develops and validates tools for the detection of respiratory failure in general, with the primary objective of creating reliable techniques to identify this biomarker. The line also investigates the possibility of determining the cause of respiratory failure through audio analysis and validates the application of the detector in a hospital setting.

This research line develops techniques to estimate the level of exhaled carbon monoxide (COex) from voice audio signals, measured in parts per million (ppm). The study classifies participants as non-smokers, light smokers, or heavy smokers, estimates years of tobacco exposure, and investigates respiratory failure associated with smoking

This research line studies and implements biomarkers to detect variations in clinical asthma control and to predict the likelihood of exacerbations in the coming days, using periodically collected audio signals. The study conducts longitudinal data collection outside the clinical setting with severe asthma patients monitored by the program at Hospital das Clínicas, FMUSP