Innovative Glucose Monitoring

Pioneering research in non-invasive blood glucose monitoring through advanced signal analysis and validation methods.

A person is preparing to check their blood sugar with a glucose meter. The hands are holding a lancet device near a finger, and a glucose meter with test strips is on the table.
A person is preparing to check their blood sugar with a glucose meter. The hands are holding a lancet device near a finger, and a glucose meter with test strips is on the table.
A person is holding a white glucose meter in their hands, preparing to take a blood sugar test. The focus is on the meter and the person's hands, with sunlight casting shadows across the scene.
A person is holding a white glucose meter in their hands, preparing to take a blood sugar test. The focus is on the meter and the person's hands, with sunlight casting shadows across the scene.

Second, we will use the API to develop and train models for signal analysis. We will fine - tune the models based on the collected data to optimize their performance.

A hand holding a digital glucose meter displaying a reading of 103 mg/dL. The background shows a wooden surface with a pen-like device lying on the table. A grassy lawn is visible in the distance.
A hand holding a digital glucose meter displaying a reading of 103 mg/dL. The background shows a wooden surface with a pen-like device lying on the table. A grassy lawn is visible in the distance.

Third, we will conduct validation experiments. We will compare the results of the API - assisted models with traditional methods and gold - standard invasive blood glucose measurement methods.