The Instant Diabetes Test is the first non-invasive biomarker that detect if the individual has diabetes or is at high risk of developing Type 2 Diabetes.
Instant Diabetes Test (IDT) uses high time-resolution PPG signal taken from a person's finger with a smartphone camera. PPG data is further processed to enhance signal-to-noise ratio and remove various artifacts.
Pre-processed PPG data points serve as the input to the sequence-to-sequence machine learning model, that along with other demographics data provide a probability of having Type 2 diabetes or pre-diabetes.
The IDT app and algorithm can operate on any iOS or Android smartphone.
To develop the IDT machine learning model we used several years of longitudinal PPG heart pulse data from more than 150,000 people, out of which 25,000 have Type 2 diabetes.
With the enhanced PPG dataset, the specificity and sensitivity of the IDT biomarker matches the Fasting Plasma Glucose method used today in clinical practice.
From placing your finger tip on the camera lens, we are able to measure PPGs by detecting color changes in the fingertip with each heartbeat.
From the PPG data, we are able to detect vascular damage caused by diabetes and provide an IDT Score.
We compared the IDT results with the most common type 2 diabetes and prediabetes test, the Fasting Plasma Glucose (FPG) test.
After comparison, the IDT test performed better, with an AUC (area under the curve) of 0.89, where the FPG scored a 0.86.
0.8 to 0.9 is considered excellent, and more than 0.9 is considered outstanding.
1.
Relax and get into a comfortable
sitting position.
2.
Place your finger on the camera lens and hold for 1 minute.
3.
Stand up for 1 minute.
