The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 10, 2020
Filed:
May. 11, 2016
Institut National DE LA Sante ET DE LA Recherche Medicale (Inserm), Paris, FR;
Institut Du Cerveau ET DE LA Moelle Epiniere, Paris, FR;
Ecole Polytechnique, Palaiseau, FR;
Inria Institut National DE Recherche En Informatique ET En Automatique, Le Chesnay, FR;
Centre National DE LA Recherche Scientifique, Paris, FR;
Sorbonne Université, Paris, FR;
Assistance Publique-hopitaux DE Paris, Paris, FR;
Stanley Durrleman, Paris, FR;
Jean-Baptiste Schiratti, Palaiseau, FR;
Stéphanie Allassonniere, Paris, FR;
Olivier Colliot, Paris, FR;
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM), Paris, FR;
INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE, Paris, FR;
ECOLE POLYTECHNIQUE, Palaiseau, FR;
INRIA INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AN AUTOMATIQUE, Le Chesnay, FR;
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE, Paris, FR;
SORBONNE UNIVERSITÉ, Paris, FR;
ASSISTANCE PUBLIQUE—HOPITAUX DE PARIS, Paris, FR;
Abstract
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.