Presentation description

Cancer patients often experience a range of treatment related symptoms such as nausea, fatigue, appetite loss, and gastrointestinal discomfort that significantly impact their quality of life. While nutrition plays a critical role in symptom management and overall well being, it is hard for patients to access personalized nutritional guidance. OncoCuisine MIDAS aims to make it easier for cancer patients to be able to easily access an AI that will tailor patients' recipes to better treat their symptoms. The AI will take user inputted symptoms and dietary preferences, mao them to evidence based nutritional strategies, and generate recipe suggestions that are both symptom treating and nutritionally appropriate. For example, a patient experiencing nausea might receive recipes featuring ginger or bland easy to digest foods.Someone with fatigue might be guided toward iron rich energy boosting meals.

Our methodology includes building a symptom to nutrient mapping database, integrating it with a curated recipe repository and applying language processing and machine learning to personalize outputs. Although the tool is still in development, our vision is to create a user-friendly platform that can be used by patients, care givers, and healthcare providers alike.

Future work will focus on developing a working prototype, validating the system with clinical experts, and conducting user testing to refine the interface and recommendations. OncoCuisine MIDAS seeks to support cancer patients through treatment and improve their quality of life.