Type 2 diabetes is one of the fastest-growing chronic diseases worldwide. Despite the availability of effective medication, the core of the problem often remains untouched: our personal response to food. New insights from Clear.bio show that this is precisely where the key to sustainable improvement, and even remission, lies.

In our latest whitepaper, we show how personalized nutrition, supported by real-time glucose data, not only leads to better health outcomes but also to structural changes in behavior and healthcare systems.

Why standard dietary advice falls short

Traditional dietary guidelines are based on averages. In reality, however, each body reacts differently to the exact same meal. This variation in postprandial glucose response (PPGR) means that generic recommendations are often insufficiently effective.

At the same time, pressure on the healthcare system is increasing. In the Netherlands alone, thousands of new diabetes patients are added every week, while healthcare professionals are struggling with capacity shortages.

This calls for a fundamentally different approach: more personalized, more scalable, and data-driven.

The Clear.bio approach, as described in the whitepaper, is based on 4 steps:

1. Eat → Eat as you normally do and easily record this in our app.
2. Measure → Measure your glucose levels with a small sensor on the upper arm.
3. Know → Gain real-time insight into your response to food and receive daily support from our online dietitians.
4. Act → With small adjustments in your diet, you can often make a big impact.

By combining nutritional data with glucose measurements, a unique personal profile is created. Users can therefore immediately see what food does to their body and act accordingly (with the help of an online dietitian).

The results: clinically and behaviorally impactful

After 2 weeks of treatment, 88% of participants reported being more aware of their personal response to food. In addition, 80% reported feeling more in control of their diet and making choices with greater confidence. This increases to 100% of participants one year after treatment.

Clinical results after 12 weeks of treatment are also impactful:

• 69% of participants with type 2 diabetes or poorly regulated glucose levels achieved more stable average glucose levels.
• Within this group, an average reduction in HbA1c of 11.6 mmol/mol (1.1%) was observed.
• Time-in-Range improved by an average of 20%.

Motivation through visualization

An important mechanism behind these results is what we call “motivation through visualization”.

Where nutritional advice normally remains abstract, real-time biofeedback makes it concrete and personal. Users immediately see the effect of their choices, making behavioral change not only possible but also sustainable.

Impact on healthcare professionals and the healthcare system

The benefits are not limited to the patient. The study also shows the following results:

• General practitioners gain better insights and more time.
• Practice nurses conduct more efficient consultations.
• Dietitians work in a more data-driven and effective way.

At the system level, this results in:

• Up to 37% lower healthcare costs per patient.
• Reduced medication use.
• Lower risk of long-term complications.

What this means for the future

Current care often focuses on managing symptoms, but this Clear.bio study shows that a different approach is possible: one focused on the root cause.By giving people insight into and control over their own metabolism, the focus shifts from treatment to improvement, and in many cases even to remission.

With a projected 30% increase in the number of diabetes patients by 2040, remission of chronic diseases and scaling of care are essential. Clear.bio is therefore working on international implementation and expansion into the prevention of other metabolic conditions such as obesity and cardiovascular disease.

The conclusion is clear:

Personalized nutrition, supported by technology, is not an addition to healthcare, but a necessary evolution.

💡 Want to learn more?

Read the whitepaper here!