AIgusto is an advanced generative artificial intelligence system capable of enhancing the creative capacity of chefs, reducing raw material waste and adapting in real time to the needs of an ever-changing industry. Through AI GUSTO, the research team explores how artificial intelligence can generate recipe variations in real time, adapting to factors such as seasonality, ingredient availability and food preferences, making cooking more dynamic, inclusive and sustainable. This means a menu that evolves with market and consumer needs, but also concrete help for chefs in balancing flavor, cost and environmental impact.

Keywords: fine dining, education, AI 

Premise Malnutrition is a common concern among cancer patients, contributing to an estimated 10%–20% of cancer-related deaths, often independently of tumour progression. Chemotherapy, a fundamental treatment for cancer, frequently causes nutrition-related side effects, particularly gastrointestinal issues such as nausea, vomiting, diarrhea, oral mucositis, taste alterations or dysgeusia, damage to the gastrointestinal mucosa, reduced appetite, and leading to oter pathology such as anorexia. 

The side effects of these problems can hinder the intake and absorption of nutrients, leading to weight loss, muscle and fat mass depletion, and impaired organ function. 

Meanwhile, a survey of oncology clinicians found that 82% rank emotional distress from taste changes among their top concerns, yet many feel ill-equipped to deliver evidence-based interventions, underscoring the urgent need for standardised and simplified access to guidelines, training clinicians on supporting patients and developing new and more efficient approaches.  

For all these reasons, nutritional support must become an essential component of the multidisciplinary approach to cancer care, playing a crucial role in improving prognosis and quality of life, and also representing an opportunity for clinicians to enhance overall patient management and emotional well-being.

Project Objective

The collaboration between Highestlab and Samsung aims to develop a research project that utilises artificial intelligence algorithms to identify a set of recommended foods or suggest a nutritional plan to healthcare professionals and/or patients, thereby improving nutritional quality during therapy. This will contribute to supporting their healing journey, awareness, and inclusion during a time of great difficulty.

The system must:

• Collect information on patient health, on food preferences, taste alterations, and other related symptoms to build a personalised patient profile.

• Provide personalised dietary recommendations to healthcare professionals, based on the guidelines of SINPE (Italian Society of Parenteral and Enteral Nutrition), ESPEN (European Society for Clinical Nutrition and Metabolism), AIOM (Italian Association of Medical Oncology), ASPEN (American Society for Parenteral and Enteral Nutrition), and EAL (Evidence Analysis Library of the Academy of Nutrition and Dietetics).

• Provide information on demand about various food types, their nutritional characteristics, and relevant dietary guidelines.

• Dynamically rebalance the dietary plan and, when necessary, request physician approval if the patient is not consuming all the required nutritional components.

• Add “Cracco Signature Touch” (Il Tocco di Cracco): if the patient wishes to enhance their menu, they can activate a dedicated feature that shows how Chef Cracco would reinterpret and develop the recipe, with step-by-step guidance to follow it.

Keywords: nutrition, health, ai systems