166 results about "Retinopathy" patented technology

The invention discloses a method for establishing an animal model for age-related retinopathy caused by lipid metabolism disorder, and the animal model is obtained by specifically knocking out Lss genes from mouse retinal pigment epithelium (RPE) cells by means of a CRISPR / Cas9 gene editing technology. The age-related retinopathy model mouse constructed by the invention shows a retinopathy phenotype with retinal lipid deposition and reduced visual function at the age of 5 months, and the retinopathy is further aggravated along with the increase of the age of the mouse and is similar to the phenotype of age-related retinopathy related to lipid metabolism disorder clinically; and an ideal and effective animal model is provided for researching age-related retinopathy.

The present invention provides methods of treating ocular disorders with modulators of the WNT signaling pathway. In particular the ocular disorders are retinopathies. Also provided are methods of dosing and pharmaceutical compositions.

The invention provides a traceable mitochondrial targeting nano system as well as a preparation method and application thereof, and belongs to the field of medicines. The traceable mitochondrial targeting nano system constructed by the invention can continuously release resveratrol and maintain the photochemical stability of resveratrol. The nano system shows efficient cellular uptake and accurate mitochondrial targeting ability, and promotes removal of mitochondrial ROS and adjustment of mitochondrial autophagy, so that vascular leakage and angiogenesis are relieved, in-vivo microvascular hyperplasia and retina degeneration are remarkably inhibited, and the curative effect is improved. The distribution of the compound in fundus can be monitored in real time through clinical ophthalmological diagnosis equipment, and the compound has a good application prospect in preparation of drugs for preventing and / or treating diabetic retinopathy.

The present disclosure relates to a method for stabilizing the pH of an aqueous composition comprising a drug which is prone to oxidation, said method comprising the addition of an additive to prevent oxidation of the drug which is prone to oxidation. In particular, the present disclosure relates to a method for stabilizing the pH of an aqueous composition comprising a corticosteroid, said method comprising the addition of an additive to prevent oxidation of the corticosteroid. The present disclosure also relates to a composition comprising a corticosteroid and an additive to prevent oxidation of the corticosteroid.

The invention relates to the technical field of premature infant disease prediction, in particular to a premature infant retinopathy onset risk prediction method and system, and the method comprises the following steps: S1, clinical data collection: collecting the clinical data of a premature infant; s2, retina image data acquisition: acquiring retina image data of a premature infant, and acquiring microstructure and blood flow state information of retina blood vessels; s3, data preprocessing: preprocessing the acquired retina image data and clinical data; s4, correlation analysis of the retina image and clinical data: revealing potential correlation between the retina image and the health condition of the premature infant, and predicting the occurrence probability of retinopathy; s5, risk assessment and intervention suggestion: dynamically assessing the retinopathy risk of the premature infant, and providing personalized intervention suggestions; according to the method, high-value features in multi-source data are effectively captured, and the prediction accuracy of retinopathy is improved.

Disclosed herein are embodiments of a polymer-based implant and methods of making and using the same. The polymer-based implant comprises a polymer component and a therapeutic agent. In some embodiments, the polymer-based implant can be used to treat and / or prevent retinal diseases and / or retinopathies. The polymer-based implant exhibits physical properties that provide the ability to safely place the polymer-based implant in an ocular region without undesired diffusion and also to allow for controlled and timely release of the therapeutic agent to a desired region of the ocular region, such as the retina. In particular disclosed embodiments, the polymer-based implant can be used for safe and effective gene therapy.

The present invention provides a compound of Formula Iand pharmaceutical compositions comprising one or more said compounds, and methods for using said compounds for treating or preventing one or more disease states that could benefit from inhibition of plasma kallikrein, including hereditary angioedema, uveitis, posterior uveitis, wet age related macular edema, diabetic macular edema, diabetic retinopathy and retinal vein occlusion. The compounds are selective inhibitors of plasma kallikrein.

Described herein are methods for the identification and detection of genetic factors in the molecular pathways associated with vascular retinopathies or retinal diseases, for example mild, moderate or severe retinopathy of prematurity (ROP). Included herewith are methods of detecting genetic mutations associated with severe retinopathies, including factors in ADRβ2 pathways, which include RAPGEF3, ADCY7, ADCY9, PRKARIA, and ADCY4 variants. Further, this disclosure provides for methods of treating a subject having a detected genetic factor indicative of ROP.

The invention discloses a diabetic retinopathy process simulation method. The method comprises the steps that a two-dimensional discrete coordinate system is constructed, and a blood vessel index function describing unit grid attributes of unit grids is defined; updating the blood glucose concentration, the oxygen concentration, the fibronectin concentration and the growth factor concentration of each unit grid every preset time t; predicting the movement direction of each blood vessel tip in the t time period according to the fibronectin concentration and the growth factor concentration; calculating a first predicted extension distance and a second predicted extension distance according to the motion direction in the current t time period and the motion direction in the last t time period; and updating the unit grid attribute of each unit grid in the two-dimensional discrete coordinate system according to the movement direction in the t time period, the blood vessel existence time of the blood vessel tip and the movement extension distance calculated by the blood vessel tip. According to the method, the oxygen concentration and the blood glucose concentration are incorporated into the model for simulating vascular extension, and accurate simulation prediction of diabetic retinopathy is achieved.

The invention belongs to the field of new application of medicines, and particularly relates to application of triptolide in preparation of medicines for treating diabetic vascular obstruction complications. Diabetes vascular obstruction is a common serious complication of diabetes and can cause various tissue injuries such as cardiovascular diseases, nephropathy and retinopathy. Experiments prove that the triptolide can remarkably improve the problems of blood vessel blockage, blood flow slowing, abnormal neovascularization and the like caused in a high-glucose environment, and meanwhile, the expression of blood glucose related indexes (such as Glucose and HbA1c) and inflammatory factors (such as TNF-alpha and IL-1beta) is reduced. In addition, triptolide can also protect pancreas from high glucose damage and improve functions of pancreatic beta cells. According to the invention, the clinical application range of the triptolide is expanded, and a new candidate substance is provided for drug treatment of diabetic vascular complications.

The present invention relates to a weakly supervised learning diabetic retinopathy grading and lesion identification method and system, the method comprising: S1: inputting a diabetic retinopathy fundus color image into a CNN network to obtain a feature map F; inputting F into a lesion point capture module based on weakly supervised object positioning, selecting to enter a branch module, calculating a score map, multiplying the score map with the feature map F to obtain a new feature map F'; S2: using an optimal network structure search module based on reinforcement learning to calculate the insertion position, selection probability, feature discarding threshold and retention threshold of the weakly supervised lesion point capture module in the CNN network, and finally outputting the feature map F. NA S3: Lesion attribute prediction and disease classification are obtained through attribute mining and lesion identification modules. S4: Based on the results of S3, the final lesion identification result is obtained through multiple iterative erasure calculations. The method provided by the present invention can improve the effectiveness of lesion capture and use lesion mining methods to determine lesion type, providing a basis for disease classification.

The present invention relates to a composition for preventing or treating diabetic retinopathy, comprising a peptide having an excellent effect of inhibiting the generation of neovascularization in the retina, the loss of perivascular cells, and the expansion of blood vessels. The present invention can be effectively used in the prevention or treatment of retinopathy by inhibiting increase in vascular permeability, inflammation, and the occurrence of neovascularization.

This invention relates to pharmaceutical compositions and methods for treatment of ophthalmic or ocular diseases and conditions. The compositions contain targeting molecules that are made up of a bifunctional hepatoma-derived growth factor-specific antibody covalently attached to a trapper that specifically binds vascular endothelial growth factor and / or transforming growth factor beta. Specific eye conditions that can be beneficially affected by the compositions and methods of the invention include age-related macular degeneration, diabetic retinopathy, peripheral vitreoretinopathy, and retinal vein occlusion.

The invention discloses a traditional Chinese medicine diabetic retinopathy difference analysis system and method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the system comprises a real-time adjustment end, a difference analysis end and a formula generation end; the real-time adjusting end is used for automatically generating retina image texture information of the diabetic patient through an image converter by detecting the retina texture of the diabetic patient in real time; the difference analysis end is used for receiving a retinal texture comparison result of a diabetic patient in real time; the formula generation end is used for receiving the retinopathy difference data in real time and taking standard traditional Chinese medicine formulas set by different lesions as the basis according to the retinopathy difference data. According to the traditional Chinese medicine diabetic retinopathy difference analysis system and method based on artificial intelligence, the retina comparison image is zoomed or expanded in real time according to the sizes of retinas of different patients, the accuracy of diabetic retina difference analysis is improved, and the accuracy of diabetic retina difference analysis is improved.

We provide TRPC5 inhibitors for use in treating or reducing the risk of developing kidney disease, diabetic retinopathy, anxiety disorders, depression, or cancer. [Solution] Compounds according to formula (I) or (II), and pharmaceutical compositions containing them are disclosed. A therapeutic method using a compound of formula (I) or (II) to treat, for example, kidney disease is also disclosed. JPEG2026086459000081.jpg3992

The invention relates to the technical field of image processing, in particular to a retinopathy recognition method, system and device based on artificial intelligence and a medium, and the method comprises the steps: taking the eye of a detected pregnant woman as a target object, setting a preset position, scanning in the depth direction, obtaining point fault information, carrying out three-dimensional reconstruction, and generating a second image. Generating a third image, performing correction processing, presetting a straight line in the corrected image, obtaining pixel values corresponding to the positions where the first pixel and the second pixel are located, and obtaining the thickness data of each layer; taking the thickness data as a pixel value; setting the value of each layer of pixel to be equal to the thickness data of the layer; generating a fourth image; and establishing an image database, adding a disease marker to the reference image, training the image estimation model by using the reference image added with the disease marker, and outputting a disease corresponding to the fourth image. The method improves the prediction efficiency and accuracy of the eye fundus image.

The present invention refers to a sgRNA molecule comprising a targeting domain for specifically targeting a SNP in the BEST1 coding region of a pathologic allele, wherein said targeting domain consists of a sequence selected from the group consisting of SEQ ID NO: 3-8, 41-44, 14-20, 50-52 and 54-55, or a sgRNA molecule combination of specifically defined first and second sgRNA molecules, wherein the first and the second sgRNA molecule each comprise a targeting domain for specifically targeting a SNP in the BEST1 gene coding or non-coding region of a pathologic allele. The present invention also refers to a nucleic acid comprising a sequence that encodes the sgRNA molecule or sgRNA molecule combination and to nucleic acid combinations. The present invention further relates to a recombinant adenovirus-associated virus (AAV) comprising the nucleic acids according to the present invention or recombinant AAV combinations. The sgRNA molecule, the nucleic acid, the recombinant AAV and combinations are useful tools for editing of the target domain in the bestrophin-1 (BEST1) gene to restore BEST1 channel function by e.g. CRISPR / Cas9)-based gene editing. The present invention further relates to the sgRNA molecule, the sgRNA molecule combination, the nucleic acid, the nucleic acid combination, the recombinant AAV and the recombinant AAV combination for use in a method for treatment of the human or animal body by surgery or therapy and for use in method of treating or preventing BEST1-related retinopathies, in particular autosomal dominant BEST1-related retinopathies.

The present disclosure relates to methods and systems for quantifying the vascular pattern using ocular imaging that shows vessel profiles for the detection, prevention, and treatment of diabetic retinopathy and other related ocular vascular diseases.

The present invention relates to a method for processing diabetic retinopathy image data, and the method includes: data preprocessing: obtaining a high-definition fundus image X, obtaining a preprocessed high-definition fundus image #imgabs0# through noise reduction and detail enhancement, and then obtaining a preprocessed high-definition fundus image #imgabs1# with a smaller resolution through scaling and data enhancement; feature extraction: inputting the preprocessed high-definition fundus image #imgabs2# with a smaller resolution into a convolutional neural network A to obtain a feature map F; respectively adopting an overall processing branch processing method and a region of interest processing branch processing method to obtain a global processing result y whole and a region of interest processing result y attention ; averaging the scores of the global processing result y whole and the region of interest processing result y attention to obtain a final processing result y pred . Compared with the prior art, the present invention has the advantages of high accuracy, high robustness, and saving computing resources.

The present invention provides compounds of formula (I), pharmaceutical compositions comprising one or more of the compounds, and methods of using the compounds to treat or prevent one or more disease states that can benefit from the inhibition of plasma kallikrein, including hereditary angioedema, uveitis, posterior uveitis, wet age-related macular degeneration, diabetic macular edema, diabetic retinopathy, and retinal vein occlusion. The compounds are selective inhibitors of plasma kallikrein. [Case 1] TIFF2025503117000129.tif6182

The invention relates to the technical field of medical image processing, and discloses a premature infant retinopathy diagnosis system based on an isotropic convolutional network, which comprises an image acquisition module, a segmentation module, a partition module, a staging module and a result generation module. The segmentation module is used for processing the retina image by adopting an equivariant convolutional network, and accurately segmenting an optic disc and a lesion area; the partitioning module divides a retina region according to an optic disc segmentation result; the staging module integrates the lesion segmentation result and the zoning result to output lesion staging; and the result generation module integrates all information to generate a comprehensive diagnosis report. According to the premature infant retinopathy diagnosis method and system, the image segmentation precision is improved through the equivariant convolutional network, and the automatic and high-accuracy comprehensive diagnosis of the premature infant retinopathy is realized by utilizing the cooperative work of the modules, so that the clinical diagnosis and treatment decision is effectively assisted.

The present invention relates to novel compounds and pharmaceutical compositions thereof, and to methods for promoting healthy skin aging, treating skin disorders, treating cardiovascular disorders, treating renal disorders, treating angiogenesis disorders, such as cancer, treating tissue damage, such as non-cardiac tissue damage, treating progressive myocardial infarction, and treating various other disorders, such as complications resulting from diabetes with the compounds and compositions of the invention. Other disorders may include, but are not limited to, atherosclerosis, coronary artery disease, diabetic nephropathy, diabetic neuropathy, diabetic retinopathy, skin infections, peripheral vascular disease, stroke, and the like.

The invention relates to a marker and a kit for predicting or diagnosing retinopathy of a premature infant and application of the marker and the kit, and provides the marker for predicting or diagnosing the retinopathy of the premature infant, and the marker is hsacirc0005789. The marker can be detected through peripheral blood, so that the detection convenience is greatly improved, and the detection cost is reduced.

The invention provides an NO donor type dasatinib derivative as well as a preparation method and application thereof. The derivative is one of a compound 1a-1f and a compound 2a-2f; the derivative has multiple effects of removing senescence cells, reducing intraocular pressure and protecting optic nerves, and is a novel potential treatment medicine for treating glaucoma and senescence-related retinopathy.

To provide a nucleic acid molecule, and the like for targeting CYP4 V2 gene.SOLUTION: There are provided in the present disclosure: a nucleic acid molecule (e.g., sgRNA or gRNA molecule) for targeting CYP4 V2 gene encoding cytochrome P450, family 4, subfamily V, polypeptide 2 protein; and a donor nucleic acid molecule specific for CYP4 V2 gene. Additionally, there are provided the uses thereof for targeting, disrupting human CYP4 V2 gene, and / or correcting mutations (e.g., c.802-8_810del17insGC mutation) and for treating Bietti's crystalline retinopathy (BCD).SELECTED DRAWING: None

This invention discloses an evaluation system and device for assessing the severity or progression of retinopathy of retinal disease (RP). The core of the evaluation system and device is the use of the RP degeneration index or the RPE / ELM residual index, which can quantify the degree of retinal degeneration and is used to assess the severity or progression of RP disease.

The invention provides an application of USP7 (ubiquitin-specific protease 7) as a target spot in preparation of drugs for treating vascular abnormal leakage diseases, and relates to the technical field of biomedicine, USP7 (ubiquitin-specific protease 7) as a deubiquitination enzyme not only regulates tumor, nerve and immune related diseases, but also is closely related to vascular endothelial cell functions. In the vascular homeostasis, the USP7 can maintain the integrity of a vascular barrier and inhibit pathological leakage by stabilizing endothelial connexin such as VE-cadherin and beta-catenin; under the inflammation or hypoxia condition, through deubiquitination of HIF-1alpha or NF-kappa B pathway components (such as I kappa B alpha), vascular endothelial cell activation can be promoted, VEGF signal-driven abnormal angiogenesis or release of inflammatory factors can be aggravated, and diabetic retinopathy, tumor vascular hyperplasia and sepsis-related vascular leakage can be participated. According to the application, verification experiments prove that USP7 has a certain protection effect on vascular permeability, and a treatment strategy is provided for vascular abnormal leakage diseases clinically.

The invention provides a retinopathy auxiliary diagnosis system, and the system comprises an image enhancement module which carries out the defogging enhancement processing of an inputted fundus image set, and outputs an enhanced image set; the target detection module positions the optic disc and the macular of each fundus image in the enhanced image set, and outputs a positioning result; the orientation screening module judges and screens qualified images according to a positioning result and a predefined orientation rule; the extraction backbone of the double-branch classification network extracts high-level features and middle-level features; the first classification branch outputs a global classification result based on the high-level features; the second classification branch outputs a local classification result based on the middle-level features; and the diagnosis unit receives the global classification result and the local classification result to generate an auxiliary diagnosis result. According to the system, a discrete series model is replaced by an integrated architecture, redundant calculation is eliminated through connection of image enhancement and target detection, and the problem of high risk of missed diagnosis is solved through orientation evaluation, global and local branch parallel processing and collaborative optimization.

The present invention provides a compound of Formula (I) and pharmaceutical compositions comprising one or more said compounds, and methods for using said compounds for treating or preventing one or more disease states that could benefit from inhibition of plasma kallikrein, including hereditary angioedema, uveitis, posterior uveitis, wet age related macular edema, diabetic macular edema, diabetic retinopathy and retinal vein occlusion. The compounds are selective inhibitors of plasma kallikrein.