Abstract: A method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of the organ or tissue is provided. In particular, the organ or tissue is a liver organ or liver tissue. The method includes the calculation of a score that combines descriptors of the image, and includes the steps of: a) measuring on the image at least two descriptors of the image, b) mathematically combining the descriptors in a score; and c) assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step b).

Abstract: A method for implementing a simulation test comprising generating a first simulation context comprising a display of a first portion of a first virtual environment defined over 360° on a screen, the portion being projected over an angle of 180° and an avatar generated at a GPS position in the virtual environment. A generation of a second simulation context is activated comprising retrieving the position of the head and its orientation from a sensor, generating a second portion of the first virtual environment computed according to the position and orientation of the captured head, displaying the second portion on an optical unit of the helmet. The first and second portions coincide over an angle corresponding to that of the second portion for at least one position and one orientation of the predefined head.

Abstract: A method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of the organ or tissue is provided. In particular, the organ or tissue is a liver organ or liver tissue. The method includes the calculation of a score that combines descriptors of the image, and includes the steps of: a) measuring on the image at least two descriptors of the image, b) mathematically combining the descriptors in a score; and c) assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step b).

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: A method for implementing a simulation test comprising generating a first simulation context comprising a display of a first portion of a first virtual environment defined over 360° on a screen, the portion being projected over an angle of 180° and an avatar generated at a GPS position in the virtual environment. A generation of a second simulation context is activated comprising retrieving the position of the head and its orientation from a sensor, generating a second portion of the first virtual environment computed according to the position and orientation of the captured head, displaying the second portion on an optical unit of the helmet. The first and second portions coincide over an angle corresponding to that of the second portion for at least one position and one orientation of the predefined head.

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: An in-vitro non-invasive method for quantifying the lesions of the liver of the patient with metabolic steatosis addressing a diagnostic target, i.e. fibrosis, steatosis and/or steato-hepatitis (NASH) and measuring at least one marker selected from the group consisting of biomarkers and possibly clinical markers and possibly scores, the biomarkers being selected from the group consisting of glycemia, AST (aspartate aminotransferase), ALT (alanine aminotransferase), AST/ALT, AST.