Abstract: The subject invention pertains to a novel angle-closure detection method for risk assessment of primary angle closure (PAC) or primary angle closure glaucoma (PACG) to inform treatment decisions. According to certain embodiments, a plurality of cross-sectional images of the anterior segment of an eye centered at the pupil with preferably even radial separations are obtained from optical coherence tomography imaging. After identifying the position of scleral spur from the cross-sectional image captured at each angle-location, the anterior chamber angles are analyzed. Each angle-location of the eye is classified as (i) closed angle, (ii) narrow angle, or (iii) open angle. The extents of narrow angles and closed angles among all angle-locations across the 360° radial space are computed. Based on the extents of narrow angles and closed angles, a regression model is applied to compute the risk of PAC/PACG development.

Abstract: Disclosed techniques evaluate the visual field of a patient's eye using deep learning techniques. A computer system obtains a plurality of cross-sectional scan images of a retina captured by an optical coherence tomography (OCT) device. The retina has an inner retinal layer. A retinal optical texture analysis (ROTA) map of the inner retinal layer is generated from the plurality of cross-sectional scan images. The ROTA map includes a plurality of pixels, and each pixel of the ROTA map corresponds to a respective optical texture signature value S providing information about tissue composition and optical density of the inner retinal layer at a respective retinal location. The computer system applies a machine learning model to process the ROTA map of the inner retinal layer to determine visual field sensitivity of the retina.

Abstract: Optical texture analysis of the inner retina, including the retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), or inner plexiform layer (IPL), or a combination of these layers, can be used to detect and quantify RNFL/GCL/IPL abnormalities. From a set of scans of a retina, anterior and posterior boundaries of an inner retinal layer of interest can be determined. Optical density measurements at specific locations on the retina and depths within the layer of interest can be extracted from the scans. From these measurements, a set of optical texture signature values corresponding to different locations can be computed, where the optical texture signature value for a given location provides information about a tissue composition of the inner retinal layer at that location. The texture signature values can provide a topographical map of a retinal layer, which can facilitate detection and quantification of abnormalities.

Abstract: Techniques for a visual disability detection system that employs virtual reality to assess visual performance of a patient based on activities of daily living are described. The virtual reality platform can integrate the testing of different components of visual function based on activities of daily living to provide a direct and clinically relevant measure of the impact of any visual disability on a patient's daily life. By simulating daily tasks for evaluation of visual disability, clinicians can better understand from a patient's perspective how visual impairment affects their daily tasks and quality of life.

Abstract: Optical texture analysis of the inner retina, including the retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), or inner plexiform layer (IPL), or a combination of these layers, can be used to detect and quantify RNFL/GCL/IPL abnormalities. From a set of scans of a retina, anterior and posterior boundaries of an inner retinal layer of interest can be determined. Optical density measurements at specific locations on the retina and depths within the layer of interest can be extracted from the scans. From these measurements, a set of optical texture signature values corresponding to different locations can be computed, where the optical texture signature value for a given location provides information about a tissue composition of the inner retinal layer at that location. The texture signature values can provide a topographical map of a retinal layer, which can facilitate detection and quantification of abnormalities.

Abstract: The present invention provides a method for inducing chronic elevation of intraocular pressure in the eyes of an animal by introducing into the eyes a cross-linking hydrogel, an animal produced by this method, as well as a screening method useful for identifying compounds capable of modulating intraocular pressure as well as for identifying compounds capable of modulating retinal ganglion cell survival and/or regeneration.

Abstract: Techniques for a visual disability detection system that employs virtual reality to assess visual performance of a patient based on activities of daily living are described. The virtual reality platform can integrate the testing of different components of visual function based on activities of daily living to provide a direct and clinically relevant measure of the impact of any visual disability on a patient's daily life. By simulating daily tasks for evaluation of visual disability, clinicians can better understand from a patient's perspective how visual impairment affects their daily tasks and quality of life.

Abstract: The present invention provides a method for inducing chronic elevation of intraocular pressure in the eyes of an animal by introducing into the eyes a cross-linking hydrogel, an animal produced by this method, as well as a screening method useful for identifying compounds capable of modulating intraocular pressure as well as for identifying compounds capable of modulating retinal ganglion cell survival and/or regeneration.