CGM + PreHypo = Trustworthy hypoglycemia warnings

Patients with diabetes strive for keeping their blood sugar within narrow limits to reduce the risk of diabetes complications. The downside of this strict glycemic control is an enhanced risk of developing severe hypoglycemia especially during sleep or physical activity. Early prediction and prevention of hypoglycemia can improve long-term outcome for patients with diabetes. PreHypo will alert the user in advance using sophisticated but easy to use technology. The background for our technology has been published in medical journals.

We help predicting low blood sugar in due time

Hypoglycemia is a feared condition for patients with both type 1 and type 2 diabetes since it can result in brain damage, coma and in worst case even death. Hypoglycemia can occur if you eat less than usual after taking your regular dose of diabetes medication, or if you exercise more than you typically do. Our invention enables patient empowerment by triggering a customize and personalized alarm from the patients or relative’s smartphone / smartwatch. This enables early intervention to avoid or reduce hypoglycemia.

What is Hypoglycemia

A condition where blood sugar falls below a critical level and disturb organ functions. It is often because of too much insulin combined with too little food intake. Low blood sugar (hypoglycemia) is the most common and most dangerous condition for many people with type 1 diabetes (T1D). Very low blood sugar may lead to insulin shock, which can be life threatening if not promptly treated. Recent reports have indicated that the incidence of hypoglycemia requiring emergency assistance is as high as 7.1% per year and that as many as 6-10% of all deaths in patients with T1D result from hypoglycemia. Patients with T1D are known to have increased risk of sudden, unexpected death during sleep. This phenomenon, known as “dead-in-bed syndrome,” occurs due to mechanisms that are poorly understood.



Using the newest knowledge within AI algorithm development our invention makes prediction of hypoglycemia possible in people with diabetes. Emerging technologies such as the Continuous Glucose Monitoring (CGM), a device for live motoring of glucose levels have made it possible to follow the trend of glucose and possibly act in time before reaching alarming levels. Unfortunately, the precisions of these measurements are not always sufficient and reliable in detecting a forthcoming event of low glucose. MEDICUS engineering’s develop clinically validated and patented software algorithm PreHypo™ yields a significantly high performance - both in prediction time and sensitivity. This combination significantly improves the prediction of hypoglycemic events and thereby the possibility of a timely intervention.

PreHypo™ can be installed and seamlessly integrated into existing CGM systems, smartphones, smart watches and/or digital diabetes management systems.

40 minutes prediction time

Our sophisticated mathematical models predicts hypoglycemia up to 40 minutes before it happens.

Patented technology

Our intellectual property is backed with new patented technology and equipment.


Validated and tested on 18.5 million minutes of CGM and 57 million minutes of synthetic CGM data.


Performance has been shown to yield an ROC AUC of 0.98


We have proven the power of our technology which has been tested in both clinical setting and during daily living. We are currently setting up new clinical trials to test and further validate our technology.

Hypoglycemia event prediction

Front. Clin. Diabetes Healthc., 09 December 2022.

Spontaneous hypoglycemia

J Diabetes Sci Technol. 2014 Jul;8(4):731-7. doi: 10.1177/1932296814528838.

Predicting hypoglycemia

J Diabetes Sci Technol. 2015 Jan;9(1):132-7. doi: 10.1177/1932296814549830


J Diabetes Sci Technol. 2019 Nov;13(6):1178-1179. doi: 10.1177/1932296819864625


Diabetes Technol Ther . 2017 Feb;19(2):91-95. doi: 10.1089/dia.2016.0342.

Get in Touch

We are always open for new partners

MEDICUS engineering ApS
Palle Juul-Jensens Boulevard 82
Denmark, 8200 Aarhus N