AI Doctors + Medical Advisors
based on the non-invasive detection of biomarkers in human skin, blood & cellular fluid

SIATLAB is creating AI Doctors and Medical Advisors for smart patients, medical offices, clinical centers, insurance companies and public health institutions. We are developing deep-tech hardware and software solutions for the non-invasive detection of biomarkers in human skin, blood and cellular fluid, that can be integrated into a wide range of devices and products. 

Key Elements

We are using multispectral optical sensors with light radiation and detection that can be implemented into any kind of device. The signal processing and sugar level prediction from the artificial intelligence cloud service algorithm only takes a few seconds. 

Sensor

Multispectral Optical Sensor with light radiation and detection

Smartphone

or any other kind of device with our GUI application

Artificial Intelligence 

AI Cloud Service Algorithm, signal processing and value calculation

Clinical Studies

The research is done to assess the reliability of non-invasive glucose measurements compared to established standard methods. A standardized analysis of the accuracy of blood glucose measurements is generally shown by the Clark-Error-Grid diagram. It shows a visual statistical estimation of accuracy based on the distribution of test results by individual zones: A - E. It is important that most measurements are in the lowest (hence A) zone.

  • OGTT tests are performed on persons of different gender and age according to the standard clinical practice
  • Clinical studies are conducted in cooperation with medical faculties and clinical research centres 

Development Goal

After glucose, SIATLAB is now working on the non-invasive detection of other key blood parameters that can be measured based on their molecular structure.

Company

SIATLAB GmbH (FN 530760 f) is based in Graz/Austria and is bringing together Slovenian and Austrian (SI/AT) researchers in the fields of electronics, medicine and artificial intelligence.