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Artificial Intelligence and Personalized Food: The New Frontier of Italian Nutrition
A group of Italian researchers is developing an innovative personalized nutrition system that uses artificial intelligence to create tailor-made diets. By analyzing individual intestinal microbiome, genetic heritage, and health conditions, the algorithm can generate extremely precise nutrition plans. The project, born from the collaboration between Milan State University and some technological startups, promises to revolutionize the nutritional approach, moving from standardized models to 100% personalized paths.
The first clinical trials show significant improvements in metabolic disorders management, with a 45% reduction in overweight cases and greater effectiveness in controlling chronic diseases. The technology is based on a multidimensional analysis that includes not only traditional physical parameters, but also factors such as lifestyle, stress, sleep quality, and even the environment in which the person lives.
The research team has developed an algorithm that crosses over 250 different variables, creating extremely detailed nutritional profiles. Each nutrition plan is constantly updated based on the user's biometric feedback, ensuring dynamic and continuous personalization. The first applications are showing surprising results: patients with type 2 diabetes have shown a stabilization of glycemic levels, while subjects with overweight problems have achieved more stable weight loss results compared to traditional diets.
The goal is to make this technology accessible through digital apps and platforms in the next three years, democratizing access to precision nutrition. Experts predict that this approach could reduce healthcare costs related to metabolic diseases by 30% and significantly improve people's quality of life.
The first clinical trials show significant improvements in metabolic disorders management, with a 45% reduction in overweight cases and greater effectiveness in controlling chronic diseases. The technology is based on a multidimensional analysis that includes not only traditional physical parameters, but also factors such as lifestyle, stress, sleep quality, and even the environment in which the person lives.
The research team has developed an algorithm that crosses over 250 different variables, creating extremely detailed nutritional profiles. Each nutrition plan is constantly updated based on the user's biometric feedback, ensuring dynamic and continuous personalization. The first applications are showing surprising results: patients with type 2 diabetes have shown a stabilization of glycemic levels, while subjects with overweight problems have achieved more stable weight loss results compared to traditional diets.
The goal is to make this technology accessible through digital apps and platforms in the next three years, democratizing access to precision nutrition. Experts predict that this approach could reduce healthcare costs related to metabolic diseases by 30% and significantly improve people's quality of life.