From the field of science and technological innovation, many are the projects that seek to give a solution to the multiple problems derived from diabetes and their complications.
Such is the case of the Suggestic program, designed and developed by Víctor Manuel Chapela Barba, an entrepreneur of Mexican origin based in Silicon Valley.It is an application (app) that based on artificial intelligence seeks to reverse the negative impacts of type 2 diabetes, the highest prevalence in the world.
What is the Suggestic program?
Chapela Barba explained that Suggestic is a startup incubated in Silicon Valley, which he directs, in which he works on the development of a platform of the same name as the company, which contains a mobile application for the end user that will allow peopleWith diabetes to have a personalized plan for disease control.
“In this application the user will find what are the things that help you maintain proper control of the blood glucose level, things that in turn could help you reverse the symptoms and complications of the disease.It would even help some users prevent the disease, ”he said.
He added that the application operates with an artificial intelligence system that analyzes all the information collected from the patient or user's user, which goes from genetic information to its biomarkers (biological markers)."Based on that we determine the best intervention that can be done, that is, the best treatment we can offer."
How does it work?
In detailing how the developed platform works, he mentioned that it could well be considered a kind of GPS (global positioning system) of people's lifestyle.
"When using the system, this has the ability to define where I can eat and what can I eat, since the app contains the nutritional information of each thing integrated in the menu of at least half a million restaurants settled in US territory."
He even indicated, the application will be able to identify what cravings the user can or not eat and where to find them, all with the aim of maintaining the best control in the patient's life.
"To prepare the most appropriate plan, we use the information we collect from the user sensors (the smartphone movement system or a smartband), which goes from its heart rate, temperature, physical activity prior to the decision to feed, forDetermine what foods are adequate or not at that time, "he explained.
Technology
"We have encoded many scientific documents (doctors) on a platform around the behavior of diabetes, metabolic indicators, biological indicators, as well as treatments, adequate food, recommended physical activity, among many others. The goal is for each user to load their dataPersonal, the system analyzes them based on scientific literature and defines from it the best treatment. "
He pointed out that the platform is able to connect to the user's clinical history when it exists in digital versions;It also has a test that must be answered by the user and that, finally, every time it is used to collect user information, which optimizes its operation in the immediate future.
Source: Live with diabetes.