12 results about "Corneal disease" patented technology

The application discloses a corneal disease image detection and classification method and device based on local and global information, and the method comprises the following steps: segmenting an image to obtain a superpixel lesion area set; extracting local features and global features; obtaining superpixel lesion area feature representation combined with local and global information; performing classification training by using global main features combined with local features, and making a prediction on a corneal disease slit lamp image; performing unsupervised clustering and category representation on the superpixel lesion area, and visually displaying abnormal lesion areas in the corneal disease slit lamp image. The corneal disease image detection and classification method and device based on local and global information can effectively extract global features and lesion area local features of the slit lamp image, perform feature fusion on the abnormal areas, realize image classification and abnormal area display.

The application discloses a line confocal OCT corneal imaging device and method integrated with a liquid lens automatic focusing, a light source module outputs light, the light passes through a line illumination generation module along an optical axis, enters a first beam splitter to form two light beams, and the two light beams enter a sample arm module to be incident to a cornea to form a reflection and scattering light beam carrying corneal information; and enter a reference arm module, pass through a second reflector to form a reference light beam; the reflection and scattering light beam and the reference light beam return to the first beam splitter along the optical axis to interfere to generate a corneal low-coherence interference signal, and sequentially enter an imaging expansion module and a spectrometer module along the optical axis to image; a computer centrally controls a first detector in the spectrometer module, an electrically-controlled displacement table in the reference arm module and a second detector in a liquid lens module; the liquid lens module is optically coupled to the sample arm module through a dichroic mirror to realize real-time measurement of an axial eye movement. The application provides a safer and more reliable inspection tool for early diagnosis and precise evaluation of corneal diseases.

The present invention relates to a composition for inhibiting angiogenesis containing yohimbine, and more specifically, to a pharmaceutical preparation and a functional food containing a composition capable of exhibiting preventive, improving, and therapeutic effects on angiogenesis-related diseases such as hemangioma, vascular adhesion, neovascular glaucoma, diabetic retinopathy, macular degeneration, corneal disease caused by neovascularization, or telangiectasia by containing yohimbine capable of inhibiting PDGF-induced vascular smooth muscle cell proliferation and migration through the factor FOXO3a.

The invention discloses a method for extracting radiomics characteristics of a cornea profile map, which comprises the following steps of: extracting a standardized region of interest (ROI) from the cornea profile map through image alignment, vertex positioning and self-adaptive cutting; performing standard radiomics feature extraction on the ROI image in parallel and extracting four types of self-defined features of multi-scale Gabor texture, HOG form, FFT frequency domain and fractal dimension optimized for the cornea structure to generate a high-dimensional feature vector; based on a machine learning strategy, an optimal feature subset is screened out through univariate pre-screening and recursive feature elimination cross validation (RFECV) in sequence, and importance sorting and diagnosis validity verification are carried out. According to the method, the problems of feature hiding and insufficient sensitivity of traditional macroscopic parameters in early diagnosis of the cornea conus are solved, mining of high-dimensional microscopic features from a conventional image is realized, and an effective auxiliary means is provided for objective and accurate diagnosis of corneal diseases, especially early cornea conus.

Current treatments for corneal disorders, also called keratopathies, depend on the stage of the keratopathy. For mild keratopathies, supportive treatments such as saline eyedrops may be sufficient to ameliorate symptoms. The present disclosure provides methods of treating corneal disorders with modulators of the WNT signaling pathway. More particularly, provided are treatments for cornea epithelial and / or endothelial injuries, defects, deficiencies, and dystrophies. Further provided are methods of dosing and pharmaceutical compositions for the treatment of corneal disorders.

This invention provides a corneal disease diagnosis system, method, and terminal based on anterior segment photography. The acquired anterior segment photograph is input into a corneal disease diagnosis model based on the fusion of learnable wavelet and Morse topological features to obtain diagnostic results. In the model, a frequency-aware modulation module performs learnable frequency domain decomposition and sub-band modulation on the input image to obtain frequency domain features and reliability scores; a topology-aware module globally models the long-range dependencies of the topological response at different scales and locations of the image to obtain topological embedding features and response scores. A confidence-aware topology and frequency fusion module uses a bidirectional cross-attention mechanism to align, modulate, and perceive consistency across modalities to obtain diagnostic results. This invention introduces Morse theory modeling into the topological structure branch to construct stable corneal morphological representations at multiple scales, and combines this with the Mamba model to efficiently model long-range dependencies; the frequency domain representation branch highlights discriminative frequency components, suppresses interference, and improves the stability of texture features. Furthermore, a fusion mechanism is designed to achieve adaptive correction and complementarity of heterogeneous features, and a reliability voting strategy is introduced to improve the robustness and credibility of the diagnostic results.

The application discloses a PROTAC nanocomposite, a preparation method and application thereof in products for treating ophthalmic diseases, relates to the technical field of biological medicine, and the PROTAC nanocomposite comprises a lipid layer and a PROTAC chimera for targeted degradation of ACSL4 wrapped in the lipid layer; wherein the lipid layer comprises an ionizable cationic lipid, cholesterol, DOPE and DSPE-PEG2000; the mass ratio of the ionizable cationic lipid, cholesterol, DOPE, DSPE-PEG2000 and the PROTAC chimera for targeted degradation of ACSL4 is (1.5-2.5):(0.8-1.2):(0.3-0.7):(1.5-2.5):1, based on the mass of the PROTAC nanocomposite; and the PROTAC nanocomposite can be applied to products for treating ophthalmic diseases, in particular, refractory corneal diseases, such as relieving and treating corneal alkali burn.

This disclosure features clusterin (CLU) as a multifunctional biotherapeutic for promoting ocular nerve regeneration for various ocular conditions. This disclosure features methods of using CLU for treating a subject with an ocular disorder, condition, or disease (e.g., an ocular surface disease, corneal disease or retinal disease). The methods described herein can be used for the treatment of ocular inflammatory conditions involving barrier disruption and nerve loss due to its ability to protect and promote the regeneration of ocular nerves.

This invention provides an E2LSH corneal disease classification method based on residual networks, comprising the following steps: S1, loading pre-trained weights and parameters into the convolutional layers of the new model; S2, removing the traditional fully connected layers in the original ResNet residual network and designing new fully connected modules to reduce the depth of the residual network while increasing the number of channels in the feature mapping; S3, introducing Dropout between convolutional layers to effectively prevent overfitting; S4, extracting the output features of the last set of residual blocks as feature descriptors. This invention makes the model more compact by removing unnecessary modules from the conventional ResNet architecture. It also employs variance calculation to construct a dynamic hash index, enabling the selection of appropriate bucket width parameters and dynamic adjustment of the bucket width, resulting in relatively uniform data distribution within each hash bucket and further improving model performance. The improved ResNet-v model maintains a high average recognition rate and recall rate, exhibiting high accuracy and strong robustness.

The present application relates to the technical field of tonometer, in particular to a real-time dynamic tonometer, comprising a signal acquisition module, a signal processing module, an algorithm model module and a display module, the signal acquisition module and the signal processing module are in wireless communication through Bluetooth, the display module is used for displaying real-time intraocular pressure signal data, and the signal acquisition module comprises a plurality of flexible patches.In the present application, the flexible patch is provided with a three-axis acceleration sensor and a surface electromyography sensor, the three-axis acceleration sensor and the surface electromyography sensor are used for detecting eyelid tremor signals, the signal processing module is used for processing the tremor signals, the algorithm model module is used for calculating the intraocular pressure value, the measurement can be realized without contacting the eye membrane, the discomfort during measurement can be reduced, the tonometer is not affected by the corneal biomechanical characteristics, is suitable for patients with corneal diseases, and the user can perform measurement by himself.

The present disclosure provides methods of treating corneal disorders with modulators of the WNT signalling pathway. More particularly, provided are treatments for cornea epithelial and / or endothelial injuries, defects, deficiencies, and dystrophies. Further provided are methods of dosing and pharmaceutical compositions for the treatment of corneal disorders.

The invention relates to the technical field of biomedical engineering and drug delivery systems, in particular to an ROS-responsive hydrogel eye drop preparation, a preparation method thereof and application of the ROS-responsive hydrogel eye drop preparation in treatment of corneal diseases. Aiming at the problems of short ocular surface residence time, low bioavailability and the like of an existing eye drop preparation, glycyrrhizic acid is added on the basis of polyvinyl alcohol to jointly serve as a skeleton of ROS response type hydrogel TPG, and the obtained hydrogel eye drops have injectability, shear thinning characteristic and thixotropy, are suitable for being used as eye drops and have good application prospects. The composition can effectively prolong the retention time of the ocular surface, and can regulate the keratitis immune microenvironment by inhibiting the amplification process of neutrophil inflammation related to HMGB1 (High Mobility Group Box 1).