OUR PATENTED PLATFORM BRINGS DATA TO LIFE
MACHINE LEARNING AND CLOUD COMPUTING
- When a sample is analysed with our device a digital biochemical signature is produced - capturing a patient's health in that moment in time.
- This signature is then stored in the Azure Cloud.
- As the patient's journey continues all clinical outcomes (i.e. the patient developed Respiratory Distress Syndrome) will also be captured. This data will be encrypted to be non-patient identifiable and securely stored in the cloud.
- The database will pair a patient's signature to the outcomes data. Machine learning will then be used to train the algorithm. To continually enhance the test.
Overtime as the data in the cloud grows machine learning will be able to recognise new patterns. This could potentially enable us to discover new biomarkers and map disease patterns. Creating a wealth of data for new applications for the platform.