{"id":164887,"date":"2024-09-03T13:23:40","date_gmt":"2024-09-03T19:23:40","guid":{"rendered":"https:\/\/tecscience.tec.mx\/en\/?p=164887"},"modified":"2024-12-13T11:15:08","modified_gmt":"2024-12-13T17:15:08","slug":"artificial-intelligence-for-diabetes-prevention","status":"publish","type":"post","link":"https:\/\/tecscience.tec.mx\/en\/tech\/artificial-intelligence-for-diabetes-prevention\/","title":{"rendered":"Yes, AI is Also Capable of Helping Prevent Type 2 Diabetes"},"content":{"rendered":"\n

Type 2 diabetes typically manifests between the ages of 30 and 40, but the window for prevention opens a decade earlier. Researchers at Tec de Monterrey are harnessing Artificial Intelligence (AI) algorithms and neural networks to monitor glucose levels in individuals with various risk factors<\/a>, aiming to stave off the onset of this disease.<\/p>\n\n\n\n

By integrating AI<\/a> with sensors that track blood sugar levels, they can predict glucose spikes in advance and prevent the development of diabetes mellitus<\/strong>.<\/p>\n\n\n\n

Predicting glucose spikes is crucial as these spikes can accumulate over time, progressively increasing the risk of developing diabetes. The research team, comprising biomedical engineering professors and students, is at the forefront of this innovative approach.<\/p>\n\n\n\n

“In the Mexican population, there is a strong predisposition to diabetes<\/strong>, and the public health cost is exorbitant. Being able to predict glucose spikes<\/strong> and raise awareness about the potential for developing this disease will enable people to take precautionary measures,” says Professor Mariel Alfaro<\/a>.<\/p>\n\n\n\n

Type 2 diabetes<\/strong> is characterized by elevated blood glucose levels<\/strong> due to insufficient insulin production. Its development is linked to obesity, lack of physical activity, and genetic factors<\/strong>.<\/p>\n\n\n\n

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