4 results about "Cataract patient" patented technology

This invention provides an application of type I interferon signaling pathway inhibitors in the preparation of drugs for treating age-related cataracts. By inhibiting type I interferon receptors, it can precisely intervene in the aging mechanism of lens epithelial cells, block the transmission of aging signals, and directly improve lens transparency, exhibiting higher therapeutic efficacy and targeting. The use of IFNAR inhibitors can effectively reverse the aging phenotype caused by STEAP3 deficiency, restore the proliferative capacity of lens epithelial cells, thereby maintaining lens transparency, significantly reducing surgical risks, and providing patients with an early intervention opportunity, delaying the onset and progression of cataracts. IFNAR inhibitors, through precise intervention in specific signaling pathways, have more significant therapeutic effects, and due to their targeting, have fewer side effects and are safer. They can not only improve existing cataracts but also play a preventive and delaying role in the early stages of cataracts. For patients with mild cataracts, the use of type I interferon receptor inhibitors can avoid premature surgical treatment, reducing patient dependence on surgery and also reducing the costs and risks associated with surgery.

This invention discloses an AI-based intelligent prediction and assessment system for postoperative vision in cataract patients, comprising an information acquisition module, a macular OCT image acquisition module, an image analysis module, a model training module, a vision prediction module, and a treatment suggestion module. The information acquisition module collects basic information about the individual user; the macular OCT image acquisition module acquires macular OCT images of the patient; the image analysis module automatically extracts and analyzes the external morphological features of the macula in the images acquired by the macular OCT image acquisition module; the model training module trains the vision prediction module; the vision prediction module loads the optimal model parameters obtained from the model training module and uses them to predict the postoperative vision of cataract patients; the treatment suggestion module provides targeted treatment suggestions based on the predicted postoperative vision obtained from the vision prediction module. This invention can accurately and quickly predict the postoperative vision of cataract patients based on their preoperative macular OCT images.

A soft gel material having anti-PCO properties and the use thereof. Provided is a "soft gel-type IOL material" that has injectability, suitability for minimally invasive surgery, a stepless zooming capability and biological resistance. A precursor of the material can be injected into an intraocular capsular bag by means of a syringe, resulting in an extremely small implantation incision, and then undergoes in-situ cross-linking into a soft gel in the intraocular capsular bag, mimicking the performance of a natural crystalline lens in young people, thereby enabling cataract patients to regain natural accommodation function after surgery. The implanted soft gel has properties such as anti-cell adhesion and anti-protein deposition, which prevent the occurrence of PCO. Compared with existing IOL products, the implanted soft gel has a longer service life while providing patients with better visual quality.

The present application relates to the technical field of medical health information and speech synthesis, and specifically discloses an intelligent voice reminding system for medication compliance of cataract patients, which comprises a user interaction terminal, a cloud collaborative processing platform and a medical data interface. The user interaction terminal determines the user's interactive state through multi-modal perception and local behavior recognition and reports it; the cloud platform dynamically decides the reminding time and content strategy through a dynamic strategy decision unit based on the user portrait, the medication task and the user state, and synthesizes personalized voice content by a multi-modal content generation unit for broadcasting. The system realizes precise timing reminding by sensing the user state, and dynamically generates differentiated reminding content based on the personalized portrait, effectively alleviating reminding fatigue, improving the acceptance of reminding and the efficiency of medication compliance management.