by In the digital age, artificial intelligence (AI) has emerged as a transformative force across many sectors, including the food industry. In particular, AI has become a key tool for detecting and meeting people’s individual nutritional needs while grocery shopping. In recent months, the impact of data on shopping processes has been changing the consumer experience by enabling more informed and personalized food decision-making, with the aim of encouraging people to live a healthier lifestyle. According to the World Health Organization, chronic diseases such as diabeteshigh blood pressure and cancer they are a global health threat due to their increasing prevalence and high mortality rates. In fact, they kill more than 41 million people in the world every year, account a 74 percent of all deaths worldwide, and they are becoming more widespread. Prevention and appropriate treatment are essential to reduce their impact on society. Scientific studies are unanimous on the importance of a healthy lifestyle in fighting these diseases, and good diet and eating habits are key.
CONSTANT PRODUCT ANALYSIS THAT SUITABLE FOR OUR NEEDS
One of the biggest selling points of AI that helps us fill our shopping baskets is its ability to continuously analyze products in real time. AI systems are able to scan nutrition labels, ingredients and dietary values, providing detailed information on each and every item. Thanks to this on-site scanning, consumers can choose products and ingredients that meet their specific nutritional needs.
AI also relies on previous data, such as past purchases and food preferences, to tailor recommendations at point of purchase. There are tools out there that can predict the changing needs of consumers and respond to them by suggesting healthier alternatives or products that can complement their current diet. This customization not only saves time, but also promotes a more balanced, customized diet. It is also essential that these new technologies alert consumers to potential allergies, dietary restrictions or even overconsumption of certain nutrients. Meanwhile, consumers can get real-time recommendations on how to best balance their diet, as well as healthier alternatives or nutritional supplements that may benefit their health.
FROM HEALTHY EATING TO DISEASE PREVENTION AND CONTROL
The value of artificial intelligence is not limited to supermarkets and other stores; it can also connect to personal devices like smart watches and virtual assistants to provide personalized reminders and tracking. Users can receive customized alerts if their body needs certain nutrients or reminders to stay hydrated, contributing to a healthier and more conscious lifestyle. As technology evolves, we can expect a future where AI not only discovers our nutritional needs, but also guides us towards a healthier lifestyle.[1]
An AI platform has been developed that can track information on physiological parameters provided by various electronic devices (especially wristbands and smart watches), triggering an alert if a parameter moves outside the healthy range, and offering specific nutritional recommendations on the best way to err. parameters back in line. Its aim is to prevent the onset of chronic diseases among the healthy population and support their treatment through non-pharmacological solutions for those already affected. In particular, we have launched two tools that support each other and help prevent and control chronic diseases such as diabetes and high blood pressure. The scientific community is largely of the opinion that the prevention and treatment of these diseases should not be completely pharmacological, but must include changes in lifestyle, especially in relation to food. Not surprisingly, more and more studies are showing that the type of food we eat has a decisive influence on the onset and progression of chronic diseases.[2]
HealthGuard™ is a chronic disease prevention and management solution that relies on neural networks to exploit information on physiological parameters collected by different people. electronic devicesespecially wristbands and smart watches. The app tracks the values of these parameters and notices significant changes. These changes do not necessarily mean that the values have entered more sinister ranges that are considered pathological; even if these values are still within the ranges considered normal, the app is able to detect trends over time which, if prolonged, could cause the values to drift in in pathological territory. HealthGuard™ is able to interpret such deviations and classify them as potential risk of occurrence in a particular therapeutic category.
The tool not only identifies risks at an early stage, but also makes specific nutritional recommendations and recommends healthy lifestyle habits aimed at correcting such tendencies in a simple and attractive way with the help of the second product: NutriGuard™. This app relies on deep learning neural networks to take advantage of all existing scientific knowledge in specialized fields (databases created and run by leading bodies within the international scientific community, as well as high-impact scientific literature) and to determine the physiological effect of the various molecular. food components. By scanning all this information, it is able to recommend foods that can stimulate a physiological effect to correct any deviation from what it considers healthy parameters.
Today, there are numerous sources of information available to people who want to take proper care of their health and prevent or control chronic diseases such as those mentioned earlier, although this information is very difficult to find. check. Fads and “self-serving” advice that is not really based on science often have disastrous health consequences. The average citizen does not have access to consistently reliable medical information.
In the supermarket of tomorrow, innovation and health will come together. We will be able to buy products adapted to our nutritional needs, determined by our own vital parameters measured in real time. Paradoxically, tomorrow has already arrived thanks to artificial intelligence.
Carlos Galmarini, CEO of Topazium
References
[1] A. Doherty et al. (2021) Start. Genes. 12: 768979
[2] D. Dicker et al. (2018). The Lancet 392: 1684
