
Dr Julien Scanzi
Medical advisorHepato-gastroenterologist at Estaing University Hospital in Clermont-Ferrand and at Thiers Hospital
Our approach combines clinical expertise, artificial intelligence and longitudinal data analysis.
Sources: Rome V, Gastroenterology, 2026 (Palsson et al.; Wong et al.). The figure on information comes from a survey of more than 1,200 patients (Halpert et al., 2010), cited in Rome V.
A person does not describe their daily life with medical codes.
They say:
“I was super bloated after lunch, but I wasn’t really in pain.”
JOJO’s first task is to turn this natural language into information structured enough to be compared over time.
This structuring relies on an architecture combining artificial intelligence and deterministic validation rules.
AI proposes. The system checks.
A single piece of information rarely makes it possible to understand a chronic disorder.
That is why our approach relies on time series: observing how several variables evolve together over several days, weeks or months.
The aim is to identify personalised patterns and, in time, predictive signals.
JOJO is supported by health professionals and scientific experts so that technology is constantly tested against medical knowledge and the realities of the care pathway.

Hepato-gastroenterologist at Estaing University Hospital in Clermont-Ferrand and at Thiers Hospital
Allergist

Physician, former Clinical Lead at Alan

IRIT — Institut de Recherche en Informatique de Toulouse, SIG team (Systèmes d’Informations Généralisés, “Information Systems”). We work in particular with Julien Aligon, associate professor at University Toulouse Capitole, whose research focuses on explaining the predictions of AI models.
irit.frWe are developing JOJO with one conviction: the data produced between two consultations can improve the understanding of a patient’s journey when they are properly structured and contextualised.
We are looking for institutions, health professionals and research teams wishing to experiment with new uses around the longitudinal monitoring of digestive disorders.