© Photo by i yunmai on Unsplash - The Lille-based teams of Professors François Pattou (Université de Lille, CHU de Lille, Inserm, Institut Pasteur de Lille) and Philippe Preux (Université de Lille, Inria) have developed a tool capable of predicting, in a personalized way, the weight loss expected over 5 years in a patient after bariatric surgery. Based on 7 variables and artificial intelligence, it was built from a cohort of 1,500 patients operated on and monitored for over fifteen years at Lille University Hospital. The model's performance was then validated on over 10,000 patients monitored in France (Montpellier, Lyon, Valenciennes, Boulogne) and abroad (Netherlands, Finland, Sweden, Switzerland, Singapore, Mexico, Brazil), as part of the European IMI Sophia project. The application is already online, available to care teams and patients alike. The publication of these results in the prestigious journal The Lancet Digital Health underlines the excellence of this original interdisciplinary project initiated 3 years ago. Personalizing patient care with artificial intelligence Faced with the increasing prevalence of obesity in our society, bariatric surgery has established itself as an effective treatment for sustainable weight loss and longer, healthier life expectancy. However, it is difficult to predict the long-term results of bariatric surgery.
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