AI model uses glucose spikes to reveal hidden diabetes risk before symptoms appear

AI model uses glucose spikes to reveal hidden diabetes risk before symptoms appear

To diagnose either type 2 diabetes or pre-diabetes, clinicians typically rely on a lab value known as HbA1c. This test captures a person's average blood glucose levels over the previous few months. But HbA1c cannot predict who is at highest risk of progressing from healthy to prediabetic, or from prediabetic to full-blown diabetes.

Hidden Diabetes Risk Identified by AI

A new study led by researchers at the Scripps Research Translational Institute is challenging the traditional way we diagnose and monitor type 2 diabetes. Published in Nature Medicine, the study reveals that glucose spikes are not exclusive to people with diabetes. Even individuals considered healthy can experience concerning fluctuations that go undetected by standard tests like hemoglobin A1c (HbA1c). The research used an artificial intelligen…

AI Model Detects Hidden Diabetes Risks by Analyzing Glucose Spikes Before Symptoms Appear

A recent study highlights the development of an artific […] The post AI Model Detects Hidden Diabetes Risks by Analyzing Glucose Spikes Before Symptoms Appear first appeared on GeneOnline News. The post AI Model Detects Hidden Diabetes Risks by Analyzing Glucose Spikes Before Symptoms Appear appeared first on GeneOnline News.