  Addressing the health challenges faced by the aging population, particularly
undernutrition, is of paramount importance, given the significant
representation of older individuals in society. Undernutrition arises from a
disbalance between nutritional intake and energy expenditure, making its
diagnosis crucial. Advances in technology allowed a better precision and
efficiency of biomarker measurements, making it easier to detect undernutrition
in the elderly. This article introduces an innovative system developed as part
of the CART initiative at Toulouse University Hospital in France. This system
takes a comprehensive approach to monitor health and well-being, collecting
data that can provide insights, shape health outcomes, and even predict them. A
key focus of this system is on identifying nutrition-related behaviors. By
integrating quantitative and clinical assessments, which include biannual
nutritional evaluations, as well as physical and physiological measurements
like mobility and weight, this approach improves the diagnosis and prevention
of undernutrition risks. It offers a more holistic perspective aligned with
physiological standards. An example is given with the data collection of an
elderly person followed at home for 3 months. We believe that this advance
could make a significant contribution to the overall improvement of health and
well-being, particularly in the elderly population.
