Your data is analyzed and compared to data from other users with and without diabetes. We’ve analyzed 2 million heart pulse measurements from more than 120,000 users out of which 27,000 have Type 2 Diabetes. A machine learning algorithm takes into account pulse measurement and your demographic data to estimate a risk of having Type 2 diabetes. Low IDT score means your data are more similar to the data of a person without Type 2 diabetes and a high IDT score means your data are more similar to the data of a person with Type 2 diabetes. This IDT score is called a digital biomarker (3). You should not use it for self-diagnosing and it only provides a risk estimate, for information and research purposes only. Your IDT score can change over time and could also be affected by external factors, like drinking alcohol or exercising prior to the measurement. High levels of stress could also affect it. For best results measure regularly and monitor how your IDT score changes over time (4). Instant Diabetes Test does not provide medical advice, diagnosis or treatment. Always seek the advice of your physician or other qualified health provider with any questions regarding your health. Contact us: [email protected] For more information please check the references below. [1] A digital biomarker of diabetes from smartphone-based vascular signals https://www.nature.com/articles/s41591-020-1010-5 [2] Diagnosing diabetes mellitus from smartphone-based vascular signals https://www.nature.com/articles/s41574-020-00433-6 [3] Developing and adopting safe and effective digital biomarkers to improve patient outcomes https://www.nature.com/articles/s41746-019-0090-4 [4] Instant Diabetes Test - Diabetes Risk Estimator: Whitepaper https://cdn3.azumio.com/idt/Instant%20Diabetes%20Test%20-%20Whitepaper%20-%20Letter.pdf [5] Instant Diabetes Test - Diabetes Risk Estimator: Validation https://cdn3.azumio.com/idt/Diabetes%20Risk%20Estimator%20-%20Validation.pdf
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