Centre National De La Recherche Scientifique

Institut National De La Sante Et De La Recherche Medicale

Assistance Publique-hopitaux De Paris

Sorbonne Université

Ecole Polytechnique

Institut Du Cerveau Et De La Moelle Epiniere

Inria Institut National De Recherche En Informatique Et an Automatique

Inria Institut National De Recherche En Informatique Et En Automatique

Olivier Colliot

Stéphanie Allassonniere

Stanley Durrleman

Jean-Baptiste Schiratti

Provided herein is a method for determining the temporal progression of a biological phenomenon which may affect a studied subject, the method including the steps of providing first data relative to biomarkers for the studied subject, the biomarkers being relative to the progression of the biological phenomenon, providing a numerical model, converting the first data into at least one point on the same Riemann manifold, and using a numerical model to determine a temporal progression for the biological phenomenon for the studied subject, the numerical model being a function in a Riemann manifold, the numerical model associating to values of biomarkers a temporal progression trajectory for the biological phenomenon and data relative to the dispersion of the progression trajectory for the biological phenomenon among a plurality of subjects, the numerical model being obtained by using a stochastic approximation in an expectation-maximization technique on data relative to biomarkers.

Method for determining the temporal progression of a biological phenomenon and associated methods and devices

Growing community of inventors

Paris, France

Olivier Colliot