 Ultra-processed foods are highly processed foods that contain high levels of additives, preservatives, and other ingredients that are not typically found in natural foods. These foods have been linked to numerous health problems such as obesity, diabetes, heart disease, and premature aging. However, due to the lack of clear guidelines regarding what qualifies as processed food, it is difficult to determine which foods fall into this category. To address this issue, our team developed a machine learning algorithm that accurately classified foods based on their level of processing. Our results showed that approximately three-quarters of all foods in the United States are ultra-processed, highlighting the need for more transparency in food labeling. Furthermore, our study also demonstrated that consuming ultra-processed foods leads to higher rates of metabolic syndrome, diabetes, hypertension, and biological aging. Replacing these foods with less processed alternatives can significantly reduce the negative health effects associated with ultra-processed foods.