Invention Grant
- Patent Title: Method for determining the temporal progression of a biological phenomenon and associated methods and devices
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Application No.: US16300391Application Date: 2016-05-11
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Publication No.: US10832089B2Publication Date: 2020-11-10
- Inventor: Stanley Durrleman , Jean-Baptiste Schiratti , Stéphanie Allassonniere , Olivier Colliot
- Applicant: INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM) , INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE , ECOLE POLYTECHNIQUE , INRIA INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE , CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE , SORBONNE UNIVERSITÉ , ASSISTANCE PUBLIQUE-HOPITAUX DE PARIS
- Applicant Address: FR Paris FR Paris FR Palaiseau FR Le Chesnay FR Paris FR Paris FR Paris
- Assignee: INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM),INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE,ECOLE POLYTECHNIQUE,INRIA INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AN AUTOMATIQUE,CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE,SORBONNE UNIVERSITÉ,ASSISTANCE PUBLIQUE—HOPITAUX DE PARIS
- Current Assignee: INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM),INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE,ECOLE POLYTECHNIQUE,INRIA INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AN AUTOMATIQUE,CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE,SORBONNE UNIVERSITÉ,ASSISTANCE PUBLIQUE—HOPITAUX DE PARIS
- Current Assignee Address: FR Paris FR Paris FR Palaiseau FR Le Chesnay FR Paris FR Paris FR Paris
- Agency: Armstrong Teasdale LLP
- International Application: PCT/IB2016/052699 WO 20160511
- International Announcement: WO2017/194995 WO 20171116
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G16H50/30 ; G16H30/40 ; A61B5/00 ; G06T7/00

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.
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