Optina Diagnostics, Inc.

Socpra Sciences Sante Et Humaines S.e.c.

Societe De Commercialisation Des Produits De La Recherche Appliquee Socpra Sciences Sante Et Humaines S.e.c.

David Lapointe

Jean Philippe Sylvestre

Claudia Chevrefils

Roger Lecomte

Reza Jafari

Jules Cadorette

Laurence Convert

Phillipe Berard

Subjects who are potentially impacted by a medical condition are identified. An experimental group includes subjects having a positive indication for a specific criterion related to the medical condition in their medical profiles. A control groups includes subjects having a negative indication for the specific criterion. An artificial intelligence system is trained using the specific criterion and secondary characteristics of the subjects of the experimental and control groups to construct a classifier for the medical condition. The classifier is used to extract a target group of subjects from a population of subjects. A medical profile of each subject of the target group is marked as potentially affected by the medical condition. A system includes the artificial intelligence system and a database for storing the medical profiles. Deep learning or machine learning may be used to analyze medical images such as retinal images.

Method and system for identifying subjects who are potentially impacted by a medical condition

The present disclosure relates to a method and a system for imaging a biological tissue. A monochromatic image of the biological tissue is obtained. A texture analysis of the biological tissue is performed using spatial information of the monochromatic image to identity features of the biological tissue. A texture image is generated based on the features of the biological tissue. The biological tissue of the subject is classified as normal or abnormal at least in part based on a comparison between first order statistics of the texture image and predetermined values.

Method and system for imaging a biological tissue

The present disclosure relates to a method and a system for detecting an anomaly within a biological tissue. A first image of the biological tissue is obtained, the first image containing light at a first wavelength. A second image of the biological tissue is obtained, the second image containing light at a second wavelength. A texture analysis of the biological tissue is performed using spatial information of the first and second images. The texture analysis is resolved over the first and second wavelengths.

Method and system for detecting an anomaly within a biological tissue

A blood counting device comprises a capillary conduit for drawing from a subject in which a radiotracer has previously been injected a quantity of blood in the micro-liter range to produce in the capillary conduit a flow of blood from which beta radiation is emitted. At least one direct beta radiation detector is placed closely adjacent to the capillary conduit. The direct beta radiation detector consists of a semiconductor photodiode which detects the beta radiation from the flow of blood when directly hit by this beta radiation.

Micro-volumetric blood radioactivity counter

A method for single photon counting transmission computed tomography (CT) is described. The method is based on an apparatus consisting of a radiation source and detectors on an opposite side of the subject from the source. The radiation source is for example an X-ray tube. The detectors are independently connected to parallel, fast, low-noise processing electronics capable of recording and counting individual X-ray photons at very high rate. In one embodiment of the invention, said detector is made of a scintillator coupled to a photodetector. The photodetector can be an avalanche photodiode (APD). The method comprises the steps of: directing the low energy radiation source toward the subject; detecting the radiation transmitted through the subject towards the detectors and recording the position and energy of each individual X-ray photon; rotating the radiation source and detectors around the subject; recording data for each position of the radiation source and detectors around the subject to form projections; and creating a CT image from the recorded projection data. The proposed method allows enhancing CT image contrast and reducing radiation dose to the patient by counting individual X-ray photons.

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Pointe-Claire, Canada

David Lapointe