To establish a baseline, banked diseases and patient samples (e.g. bacteria, blood, urine, saliva) are grown.
Gaseous metabolites are released by samples and absorbed by a novel nanoporous matrix, which is read by a laser.
Machine learning is employed to create algorithms that describe relationships between metabolic profiles and diseased states.
Patient samples are analyzed and compared to the state-of-the-art technology testing in terms of accuracy and time.
Our technology enables bacterial diagnostics in 4-6 hours for less than $1 per test. This beats the leading platform by 44-68 hours while significantly reducing cost.
Our platform is currently validated for the diagnosis of 15 different banked bacterial types. Ongoing clinical collaborations aim to further our database and expand towards clinical trials.
Our technology requires no technical expertise for end-point analysis. Furthermore, our proprietary metabolic analysis process requires no laboratory equipment and can be done in the comfort of home.
Genomic analysis tools typically only analyze a small sample, resulting in high variability. Metabolic analysis is cheaper, allowing for frequent large-scale analysis at two orders of magnitude below current costs.