The use of algorithms is part of the medicine of tomorrow, making it more personalized, predictive, participatory, and preventative. In terms of prevention, research projects, experiments, and initiatives have been launched based on this observation in fields as diverse as the occurrence of epidemic crises, personalized monitoring of at-risk individuals, and improving individual behaviors to delay dependency. Promising avenues are emerging at the individual and local levels, as well as at the national and international levels. At the same time, as the subject is relatively recent, several questions remain open. The choice of models and the type of data collected are among them. Similarly, impacts are beginning to be perceived on the type of insurance coverage, economic models, and, more generally, lifestyles that such a development may entail. These impacts deserve to be explored.Le groupe Polytechnique-Sant\u00e9 se propose \u00e0 travers une s\u00e9rie de s\u00e9minaires d\u2019explorer la question suivante : La pr\u00e9vention en sant\u00e9 sera-t-elle algorithmique ?<\/p>\n
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7:00 \u2013 7:30 pm | Participant welcome<\/strong><\/p>\n <\/p>\n 7:30 \u2013 9:00 pm | Seminar led by Prof. \u00c9tienne Minvielle, Professor at \u00c9cole polytechnique, CNRS Research Director, and Public Health Physician at Gustave Roussy<\/strong><\/p>\n <\/p>\n <\/p>\n 9:00\u2013 10 pm | Cocktail<\/strong><\/p>\n An informal gathering to continue the discussions and encourage networking among participants.<\/p>\n Meeting location: PariSant\u00e9 Campus<\/strong><\/p>\n 2 – 10 Rue d’Oradour-sur-Glane, 75015 Paris<\/strong><\/a><\/p>\n\n