Artificial intelligence for the detection and treatment of diabetes 1 and 2

About 537 million people live with diabetes in the world.The figure, far from being reduced, is expected to increase by 46%, until reaching 783 million in 2045. According to the latest report of the International Diabetes Federation (IDF, according to its acronym in English), Europe is the regionwith greater annual incidence of the disease (adding around 31,000 new cases each year) and one of the most budget to fight against it.

In this sense, the most generalized political strategy is the commitment to prevention, awareness and research, in order to achieve an early detention of the disease and thus avoid medical complications or overloads in the health system.In this line, the strategy for diabetes in Spain is also framed, where pathology affects about 6,000,000 people and 8.2% of the annual health budget is destined to treat pathology and its complications.

"The new technological advances and the application of artificial intelligence in the detection and control of the disease are resulting to be of vital importance to improve the quality of life of people who live with diabetes and their relatives"
And in this context it is, as has stressed, Juan Francisco Perán Perán, president of the Spanish Diabetes Federation (Fede), "precisely where the new technological advances and the application of artificial intelligence in the detection and control of the diseaseThey are resulting to be of vital importance to improve the quality of life of people who live with diabetes and their relatives. "

In the case of patients with type 1 diabetes, closed circuit systems or "artificial pancreas" have evolved towards an almost complete automation.In this type of systems, a glucose sensor connected to a computer program or an APPDDESENCADENA an automatic insulin injection that normalizes the patient's glucose levels.The inclusion of artificial intelligence algorithms is perfecting this process, making it more and more personalized.

Creators of this type of systems explain that they aim to reduce both hypoglycemia and hyperglycemia, since they can also improve glycemia and long -term health results, reducing anguish, the load of diabetes and, in parallel, improving sleep quality.

This series of applications operates with an algorithm that predicts how much insulin is required to maintain glucose levels in the target range.Those responsible have previously demonstrated that the use of an artificial pancreas executed by a similar algorithm is effective in patients living with type 1 diabetes, both in adults and young children.

And, thanks to artificial intelligence, a closed circuit system is able to learn the behavior of the patient's glucose, and to take into account factors such as their diet or their physical condition when evaluating their needs.

Advances in type 2 diabetes

On the other hand, artificial intelligence is also having applications in the detection of type 2 diabetes, since with its arrival the ability to analyze and cross data has greatly increased, facilitating the detection of risk patients.

In this sense, in December 2022, a group of scientists in the United States discovered a way of transforming a continuous glucose monitor in a diabetes detection tool, just leaving an artificial intelligence to collect data on patients for 12 hours.

"We believe that MCG could be used not only to control diabetes, but to completely prevent it."
The creators of this system are researchers from the Klick Applied Sciences and have presented theResults of their study at the neurips conference in New Orleans, where they have explained how they used automatic learning and data recorded by MCG to identify patients with prediabetes or diabetes.

"We have shown that 12 hours of monitoring can make a big difference in the lives of people at risk of developing diabetes when there is still time to correct the course," says Jouhyun Jeon, the main scientist of the study and main researcher of Klick Applied Sciences."We believe that MCG could be used not only to control diabetes, but to prevent it completely," he says.

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