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Artificial Intelligence Model Successfully Assesses T2D Risk

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Diabetes Mellitus Type 2 News

Diabetes Mellitus Type Ii,Type 2 Diabetes,Type 2 DM

An artificial intelligence model combining genetic markers, demographic variables, and medical imaging was highly accurate in the early detection and risk assessment of T2D.

An artificial intelligence–based model that incorporates polygenic and multi-image risk scores with key demographic variables effectively identifies individuals at a high risk forEarly detection and risk assessment of T2D are critical for effective health management, as diabetes imposes a significant mortality and economic burden on patients.

Taiwan Biobank collected baseline and follow-up questionnaires; blood and urine samples; biomarker measurements; and medical imaging data, including abdominal ultrasonography , carotid artery ultrasonography , bone mineral density , electrocardiography, and thyroid ultrasonography.

 

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The Small Helpful Model: Redefining Artificial IntelligenceCo-founder & CEO at Mobeus. Former CTO, CDO & CIO at Fortune 500 Firms in Financial Services and Healthcare. Read Richie Etwaru's full executive profile here.
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